ISTQB-CTFL Questions and Answers

The unscripted tests produced by the tester’s experience during the two-hour test session belong to the testing quadrant Q3. The testing quadrants are a classification of testing types based on two dimensions: the test objectives (whether the testing is focused on supporting the team or critiquing the product) and the test basis (whether the testing is based on the technology or the business). The testing quadrants are labeled as Q1, Q2, Q3, and Q4, and each quadrant represents a different testing perspective, such as unit testing, acceptance testing, usability testing, or performance testing. The testing quadrant Q3 corresponds to the testing types that have the objective of critiquing the product from the business perspective, such as exploratory testing, usability testing, user acceptance testing, alpha testing, beta testing, etc. The unscripted tests performed by the tester in the given scenario are examples of exploratory testing and usability testing, as they are based on the tester’s experience, intuition, and learning of the web application, and they focus on some specific usability issues, such as the user interface, the user satisfaction, the user feedback, etc. The other options are incorrect, because:

The testing quadrant Q1 corresponds to the testing types that have the objective of supporting the team from the technology perspective, such as unit testing, component testing, integration testing, system testing, etc. These testing types are usually performed by developers or testers who have access to the source code, the design, the architecture, or the configuration of the software system, and they aim to verify the functionality, the quality, and the reliability of the software system at different levels of integration.

The testing quadrant Q2 corresponds to the testing types that have the objective of supporting the team from the business perspective, such as functional testing, acceptance testing, story testing, scenario testing, etc. These testing types are usually performed by testers or customers who have access to the requirements, the specifications, the user stories, or the business processes of the software system, and they aim to validate that the software system meets the expectations and the needs of the users and the stakeholders.

The testing quadrant Q4 corresponds to the testing types that have the objective of critiquing the product from the technology perspective, such as performance testing, security testing, reliability testing, compatibility testing, etc. These testing types are usually performed by testers or specialists who have access to the tools, the metrics, the standards, or the benchmarks of the software system, and they aim to evaluate the non-functional aspects of the software system, such as the efficiency, the security, the reliability, or the compatibility of the software system under different conditions or environments. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.3.1, Testing in Software Development Lifecycles

ISTQB® Glossary of Testing Terms v4.0, Testing Quadrant, Exploratory Testing, Usability Testing, Unit Testing, Component Testing, Integration Testing, System Testing, Functional Testing, Acceptance Testing, Story Testing, Scenario Testing, Performance Testing, Security Testing, Reliability Testing, Compatibility Testing

Test exit criteria are the conditions or requirements that must be met before testing can be concluded. Test exit criteria are usually defined in the test plan and agreed by the stakeholders. Test exit criteria can be based on various factors, such as test coverage, defect status, quality level, risk level, etc. Test schedules would be the least likely to be used as the basis for test exit criteria, because test schedules are not directly related to the quality or performance of the software product, but rather to the time or resources allocated for testing. Test schedules can be used as the basis for test entry criteria, which are the conditions or requirements that must be met before testing can start. The other options are more likely to be used as the basis for test exit criteria. Cost of testing performed so far can be used as a basis for test exit criteria, because it can indicate the return on investment or the cost-benefit ratio of testing. Confidence of testers in tested code can be used as a basis for test exit criteria, because it can reflect the level of satisfaction or assurance of the testers about the quality or reliability of the software product. Number of unfixed defects can be used as a basis for test exit criteria, because it can indicate the level of risk or impact of the remaining defects on the software product. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 13.

Test design is one of the fundamental activities in software testing, focusing on how tests will be structured and what strategies will be employed. As per the ISTQB syllabus, identifying appropriate test execution and automation tools is a task closely associated with test design activities because it directly influences how tests will be conducted, managed, and executed efficiently. This activity involves deciding on the tools that will best support the testing goals and requirements.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 4.4 "Test Design Techniques".

Rule 5 in the decision table indicates that when the object is within 5 metres of the vehicle and the sensitivity mode is switched "on", no LED is lit. This matches the conditions and actions described in the decision table provided, ensuring that only the red LED is lit when the sensitivity mode is on and the object is within 1 metre, otherwise no LED is lit .

 Functional testing is an example of black-box dynamic testing. Black-box testing (also known as specification-based testing) is a type of testing that does not consider the internal structure or implementation of the system under test, but rather its external behavior or functionality. Dynamic testing is a type of testing that involves executing the system under test with various inputs and observing its outputs. Functional testing is a type of black-box dynamic testing that verifies that the system under test performs its intended functions according to its requirements or specifications. Functional testing can be performed at various levels and scopes depending on the objectives and criteria of testing. The other options are not examples of black-box dynamic testing. Code inspection is an example of white-box static testing. White-box testing (also known as structure-based testing) is a type of testing that considers the internal structure or implementation of the system under test. Static testing is a type of testing that does not involve executing the system under test, but rather analyzing it for defects, errors, or violations of standards. Code inspection is a type of white-box static testing that involves examining the source code of the system under test for quality, readability, maintainability, etc. Checking memory leaks for a program by executing it is an example of white-box dynamic testing. Memory leaks are defects that occur when a program fails to release memory that it has allocated but no longer needs. Checking memory leaks for a program by executing it requires knowledge and access to the internal structure or implementation of the program, such as memory allocation and deallocation mechanisms, pointers, references, etc. Coverage analysis is an example of white-box static testing. Coverage analysis is a technique that measures how much of the code or structure of the system under test has been exercised by a test suite. Coverage analysis requires knowledge and access to the internal structure or implementation of the system under test, such as statements, branches, paths, conditions, etc. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 7.

This answer is correct because the whole-team approach is a way of working in agile projects where all team members share the responsibility for the quality of the product, and collaborate on delivering value to the customer. The whole-team approach involves testers, developers, business analysts, product owners, and other stakeholders in planning, designing, developing, testing, and delivering the product. The whole-team approach fosters communication, feedback, learning, and continuous improvement within the team. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 3.1.1.1

A test tool used for the analysis of a developer's code prior to its execution falls under the category of static testing tools. Static testing involves examining the code and documentation without executing the code. These tools are used to perform static analysis, which helps in identifying potential defects and code quality issues early in the development process. The ISTQB CTFL syllabus specifies that static analysis tools are essential for finding defects that do not manifest themselves during the execution of the program.

References: ISTQB CTFL Syllabus, Section 3.1, "Static Testing."

Checklist-based testing is a technique where testers use pre-determined checklists to ensure that important aspects of a work product are evaluated. Over time, these checklists should be reviewed and updated periodically to maintain their effectiveness in detecting defects. As systems evolve, outdated checklists may miss new types of defects, thus diminishing their usefulness. Therefore, statement D is true according to the ISTQB CTFL syllabus​​.

A software bug can cause harm to a company by directly affecting its operations, reputation, user satisfaction, and financials. Option D, "When calculating the final price in a shopping list, the price of the last item is not added," describes a defect that directly impacts the core functionality of a financial transaction, potentially leading to financial loss and customer dissatisfaction. This can have severe implications for the company's credibility and revenue. Options A, B, and C describe bugs that, while potentially annoying, do not have the same direct impact on the company's core operations and financial integrity as option D.

In formal reviews, the scribe's role is to collate potential defects and other findings during the review process. This position is crucial as it ensures all observations and defects are recorded accurately, facilitating efficient analysis and resolution of issues identified during the review.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 3.2.4 "Roles and Responsibilities in a Formal Review".

The relationship between impact analysis and regression testing in maintenance testing is that impact analysis is used to evaluate the amount of regression testing to be performed. Maintenance testing is a type of testing that is performed on an existing software product after it has been delivered or deployed, in order to ensure that it still meets its requirements and functions correctly after a change or a modification. Maintenance testing can be triggered by various reasons, such as corrective maintenance (fixing defects), adaptive maintenance (adapting to new environments), perfective maintenance (improving performance), preventive maintenance (avoiding future problems), etc. Impact analysis is a technique that is used to assess the extent and nature of changes introduced by maintenance activities on the software product or project. Impact analysis helps to identify which parts of the software product are affected by the changes, which parts need to be modified or updated accordingly, which parts need to be retested or verified for correctness or compatibility, etc. Regression testing is a type of testing that verifies that previously tested software still performs correctly after a change or a modification. Regression testing helps to detect any side effects or unintended consequences of maintenance activities on the software product’s functionality or quality. Regression testing can be performed at various levels and scopes depending on the impact analysis results. Therefore, in maintenance testing, impact analysis is used to evaluate the amount of regression testing to be performed. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 20.

A typical test plan includes various elements, such as resource requirements, test completion criteria, and suspension/resumption criteria. However, the list of product risks that have not been fully mitigated is generally not included in the test plan but rather in the risk management documentation.

The test plan focuses on planning and executing tests, including resource allocation and defining criteria for test suspension and resumption.

While risk management is crucial, unmitigated risks are typically documented in risk logs or separate risk management plans.

Boundary Value Analysis (BVA) is a software testing technique in which tests are designed to include values at the boundaries. The concept is to focus on the boundaries since errors tend to occur at the edges of input ranges rather than in the middle.

Given the problem statement:

Up to $100.00 = 2%

$100.01 to $500.00 = 4%

$500.01 to $1,000.00 = 5%

Above $1,000.00 = 7%

Two-point boundary value analysis means testing the two boundaries of each range.

For each range:

The boundaries for "Up to $100.00" would be $100.00 and $100.01.

The boundaries for "$100.01 to $500.00" would be $100.00 and $500.00.

The boundaries for "$500.01 to $1,000.00" would be $500.00 and $1,000.00.

The boundaries for "Above $1,000.00" would be $1,000.00 and $1,000.01.

Now, let's examine the options:

A. $5.00, $100.00, $499.99, $1,000.00, $1,000.01

Missing $100.01 and $500.01.

B. $100.00, $100.01, $100.02, $500.00, $999.99

Covers $100.00, $100.01, $500.00, $1000.00, and $1000.01.

C. $100.00, $500.00, $1,000.00, $1,000.01

Missing $100.01 and $500.01.

D. $5.00, $100.00, $500.00, $1,000.01

Missing $100.01 and $500.01.

Given the options, B provides the highest boundary coverage​ (ISTQB not-for-profit association)​​ (Udemy)​.

References:

Certified Tester Foundation Level v4.0

10 Sample Exams ISTQB Foundation Level (CTFL) v4.0

This answer is correct because Behavior-Driven Development (BDD) is a test-first approach, where tests that express a shared understanding from stakeholders of how the application is expected to work, are first written in business-readable language (following the Given/When/Then format), and then made executable to drive development. BDD is a collaborative approach that involves testers, developers, business analysts, product owners, and other stakeholders in defining the expected behavior of the application using scenarios that describe the preconditions, actions, and outcomes of the application. BDD scenarios are written using a domain-specific language (DSL) that can be translated into executable test cases using tools such as Cucumber or SpecFlow. BDD aims to improve communication, collaboration, and feedback among the team members, and to deliver software that meets the customer’s needs and expectations. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 3.1.1.4

, Requirements Engineering Fundamentals.

To determine the optimal test execution schedule that minimizes the number of configuration switches and respects the dependencies, we start with the initial configuration, CONF1.

TC4: It has no dependencies and runs on CONF1 (initial configuration).

TC3: Depends on TC4 and runs on CONF1. Since TC4 is already executed, we can proceed with TC3.

TC2: Depends on TC4 and runs on CONF2. We switch to CONF2 after TC3.

TC1: No dependencies and runs on CONF2. Since we are already in CONF2, we can execute TC1 next.

TC5: Depends on TC1 and runs on CONF2. Since TC1 is already executed, we can proceed with TC5 without additional configuration switches.

By following this sequence (TC4, TC3, TC2, TC1, TC5), we respect the dependencies and minimize the number of configuration switches

A typical product risk involves issues directly related to the software product's functionality, performance, usability, reliability, etc. Option A, "Poor usability of the software," directly impacts the end-user's interaction with the software and is a quality attribute of the product itself, making it a product risk. Options B, "A problem in the code developed by a 3rd party," C, "Low quality of the configuration data, test data and tests," and D, "Problem in defining the right requirements," can be considered either product or project risks depending on the context, but option A is the most directly associated with a typical product risk concerning the quality and usability of the software.

A defect report is a document that records the details of a defect found during testing. A defect report typically contains the following items:

Identifier: A unique identifier for the defect report

Summary: A concise summary of the defect

Description: A detailed description of the defect, including the steps to reproduce it, the expected and actual results, and any relevant screenshots or logs

Severity: The degree of impact that the defect has on the system

Priority: The level of urgency for resolving the defect

Status: The current state of the defect, such as new, open, resolved, closed, etc.

Resolution: The action taken to resolve the defect, such as fix, workaround, reject, etc. Out of these items, the one that is not needed to specify in a defect report is how to fix the defect. How to fix the defect is a technical solution that is usually determined by the developer who is assigned to resolve the defect. How to fix the defect is not part of the defect report, but rather part of the code change or patch that is delivered to fix the defect. The other items are needed to specify in a defect report, as they provide essential information for identifying, tracking and resolving defects. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 3, page 32-33.

Acceptance criteria for user stories often include detailed specifications about data definitions, such as the format, allowed values, and default values for a data item. This helps ensure that the developed feature meets the expected requirements and provides a clear understanding for both developers and testers on what needs to be validated. Therefore, statement B is true as per the ISTQB CTFL syllabus​​.

The correct outcome of a two-value boundary value analysis applied to the password length is the set of test cases represented by option D. Boundary value analysis is a test design technique that focuses on the values at the boundaries of an equivalence partition, such as the minimum and maximum values, or the values just above and below the boundaries. A two-value boundary value analysis uses two values for each boundary, one representing the valid value and one representing the invalid value. For example, if the valid range of values is from 4 to 7, then the two values for the lower boundary are 3 and 4, and the two values for the upper boundary are 7 and 8. The test cases in option D use these values for the password length, while also satisfying the other requirements of the password, such as containing at least one numeric character, one capital letter, and one lowercase letter. The test cases in option D are:

1RhT: a 4-character password that is valid

rSp53: a 5-character password that is valid

3N3e10: a 6-character password that is valid

8sBdby: an 8-character password that is invalid The test cases in the other options are incorrect, because they either use values that are not at the boundaries of the password length, or they do not meet the other requirements of the password. For example, the test cases in option A are:

1xA: a 3-character password that is invalid, but it does not contain a capital letter

aB11: a 4-character password that is valid

Pq1ZZab: a 7-character password that is valid

7iDD0a1x: an 8-character password that is invalid References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.2.1, Black-box Test Design Techniques1

ISTQB® Glossary of Testing Terms v4.0, Boundary Value Analysis, Equivalence Partition2

This scenario is using a walkthrough review type and a perspective-based review technique. In a walkthrough, the author of the document leads the meeting and it typically includes a meeting leader and a scribe, as described. This type of review is informal, focuses on discussion, and often involves scenario-based reading of the document to understand different user perspectives​ (ISTQB Main Web)​.References:

ISTQB® Certified Tester Foundation Level Syllabus v4.0: ISTQB CTFL Syllabus v4.0 PDF

The test levels and their objectives can be matched as follows:

Verifying whether the functional and non-functional behaviors of the system are as designed and specified (A3: System testing).

Verifying whether the functional and non-functional behaviors of the interfaces are as designed (B2: Integration testing).

Verifying whether the functional and non-functional behaviors of the components are as designed and specified (C1: Component testing).

Establishing confidence in the quality of the system as a whole (D4: Acceptance testing)​​.

Experience based techniques (EBT) are techniques that use the knowledge, intuition and skills of the test engineers to design and execute tests. EBT use tests derived from the test engineers’ previous experience with similar technologies, domains, applications or systems. EBT are not based on the ability of the test engineer to implement various testing techniques, but rather on their personal judgment and creativity. EBT are not done as a second stage of testing, after non-experience-based testing took place, but rather as a complementary or alternative approach to other techniques. EBT require broad and deep knowledge in both testing and the application or technological domain, as this can help the test engineer identify potential risks, scenarios or defects. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 5, page 48-49.

State transition testing is a black-box testing technique used to analyze the behavior of a system by examining the transitions between different states in response to events. In state transition testing, a state table or diagram is used to represent the states of a system and the transitions between these states triggered by events.

Option D is correct because in state transition testing, all transitions between states should be explicitly shown in the state table. This includes valid transitions that the system is expected to make under normal operation and, where relevant, invalid transitions that should be tested to ensure the system handles unexpected or erroneous inputs gracefully. The state table provides a comprehensive view of how the system should behave, making it possible to create tests that cover all defined transitions.

Debugging the software to find the reason for defects is not a common objective of testing, but rather a task of development or maintenance. Debugging is a process of locating and fixing errors in the software code, while testing is a process of finding and reporting defects in the software behavior or quality. Testing does not aim to fix defects, but rather to provide information on their existence and impact. The other options are common objectives of testing. Finding defects in the software is one of the main objectives of testing, as it helps to improve the quality and reliability of the software. Preventing defects is another objective of testing, as it helps to avoid rework and reduce costs and risks. Providing information on the status of the system is another objective of testing, as it helps to support decision making and risk management. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 3.

Pair reviews are informal and typically involve two people reviewing the work product together, often in an informal setting. Walkthroughs are more formal and aim to educate stakeholders and evaluate the product, serving the dual purpose of improving the product and training participants. Technical reviews have a strong focus on improving the product's quality, often involving technical stakeholders. Inspections are the most formal review type and are aimed primarily at detecting defects.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 3.2.3 "Review Types".

Checklist-based testing involves using checklists that contain items, such as potential test conditions, that should be tested. These checklists are often based on insights into what is important to the user, potential areas where software might fail, and specific aspects that need to be tested. It provides a structured yet flexible approach to testing, ensuring key areas are covered while allowing testers to use their experience and understanding of the system. Checklist-based testing is not limited to non-functional testing but can be applied to various types of testing, including functional testing.References:

ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 4.4.5.

The set of test inputs that achieve the relatively highest equivalence partition coverage for grading students is option D: 69, 79, 80, 89, 90. This set effectively tests the boundaries between each grade category, ensuring that the grading system accurately transitions from one grade to another at the correct thresholds​ (ISTQB Main Web)​.References:

ISTQB® Certified Tester Foundation Level Syllabus v4.0: ISTQB CTFL Syllabus v4.0 PDF

A new navigation system compared with a previous system is the most suitable application for testing by use cases, because it involves a high level of interaction between the user and the system, and the expected behavior and outcomes of the system are based on the user’s needs and goals. Use cases can help to specify the functional requirements of the new navigation system, such as the ability to enter a destination, select a route, follow the directions, receive alerts, etc. Use cases can also help to compare the accuracy and usability of the new system with the previous system, by defining the success and failure scenarios, the preconditions and postconditions, and the alternative flows of each use case. Use cases can also help to design and execute test cases that cover the main and exceptional paths of each use case, and to verify the satisfaction of the user’s expectations.

The other options are not the most suitable applications for testing by use cases, because they do not involve a high level of interaction between the user and the system, or the expected behavior and outcomes of the system are not based on the user’s needs and goals. A billing system used to calculate monthly charge based on a large number of subscriber parameters is more suitable for testing by data-driven testing, which is a technique for testing the functionality and performance of a system or component by using a large set of input and output data. The ability of an antivirus package to detect and quarantine a new threat is more suitable for testing by exploratory testing, which is a technique for testing the functionality and security of a system or component by using an informal and flexible approach, based on the tester’s experience and intuition. The suitability and performance of a multimedia (audio video based) system to a new operating system is more suitable for testing by compatibility testing, which is a technique for testing the functionality and performance of a system or component by using different hardware, software, or network environments. References = CTFL 4.0 Syllabus, Section 3.1.1, page 28-29; Section 4.1.1, page 44-45; Section 4.2.1, page 47-48.

According to the ISTQB Certified Tester Foundation Level (CTFL) v4.0, the life cycle of a defect typically follows a sequence from its discovery to its closure. In the provided figure, it starts with S0 (New), moves to S1 (Assigned), then to S2 (Resolved), followed by S3 (Verified). If the defect is not fixed, it can be Re-opened (S5) and goes back for verification (S3). Once verified, it is Closed (S4). References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 Syllabus, Section 1.4.3, Page 17.

To apply one-dimensional equivalence partitioning to the ID requirement, we need to consider each condition individually:

Length of the ID: Valid partitions (5-10 characters), Invalid partitions (less than 5, more than 10) = 3 partitions.

Type of characters: Valid partitions (alphanumeric), Invalid partitions (non-alphanumeric) = 2 partitions.

First character: Valid partitions (letter), Invalid partitions (non-letter) = 2 partitions. Adding these partitions, we get a total of 3 (length) + 2 (character type) + 2 (first character) = 7 partitions. Thus, the correct answer is A​​.

Option D correctly explains what is represented by the lines A, B and the axes X, Y in a testing metrics chart. According to option D:

X-axis represents Time

Y-axis represents Count

Line A represents Number of open bugs

Line B represents Total number of executed tests

This information is essential in understanding and analyzing the testing metrics of a completed project.

References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 Syllabus, Section 2.5.1, Page 35.

Boundary value analysis is a technique that tests boundary values between partitions of equivalent data. Boundary values are values at the edge of an equivalence partition or at the smallest incremental distance on either side of an edge. Boundary value analysis can be applied to both input and output values. Based on the given requirement, we can identify two input values: age and weekend. Age should be an integer of 0 or above, and weekend means Friday to Sunday inclusive. The following statement is not correct:

A) Thursday is a valid input boundary value. This statement is not correct, as Thursday is not a boundary value for the input weekend. The boundary values for the input weekend are Friday and Sunday, as they are at the edge of the equivalence partition that represents weekend days. The following statements are correct:

B) A minimum of 6 valid test cases are derived from boundary value analysis based on input age. This statement is correct, as we can derive six valid test cases based on input age by using the minimum and maximum values for each equivalence partition defined by the requirement. The equivalence partitions for input age are: under 7 (0 to 6), 7 to 13 inclusive (7 to 13), and greater than 65 (66 and above). The minimum and maximum values for each partition are: 0 and 6, 7 and 13, and 66 and any value above it.

C) $3.01 is a valid output boundary value. This statement is correct, as $3.01 is a boundary value for the output additional fee. The additional fee can have four possible values depending on the input age: $0 (for visitors aged under 7), $2.40 (for visitors aged 7 to 13 inclusive with a 20% discount), $1.50 (for visitors aged greater than 65 with a 50% discount), and $3 (for visitors aged between 14 and 65). The boundary values for the output additional fee are $0 and $3, as they are at the edge of an equivalence partition or at the smallest incremental distance on either side of an edge. Therefore, $3.01 is a valid output boundary value, as it is at the smallest incremental distance above $3.

D) 7 and 13 are boundary values for the equivalence partition including age 10. This statement is correct, as 7 and 13 are boundary values for the equivalence partition that represents visitors aged 7 to 13 inclusive. This partition includes age 10, which is an internal value within the partition. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 37-38.

Test planning involves defining the overall approach to testing, including scheduling, resources, and milestones. It is during this phase that the detailed schedule for each testing activity is determined based on estimates, resource availability, and constraints. The ISTQB CTFL Syllabus v4.0 outlines that test planning encompasses the creation of test plans and schedules to ensure that testing activities are properly managed and controlled​​.

Project risks are the uncertainties or threats that may affect the project objectives, such as scope, schedule, cost, and quality. According to the ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, some of the factors that contribute to project risks are:

Skill and staff shortages: This factor refers to the lack of adequate or qualified human resources to perform the project tasks. This may result in delays, errors, rework, or low productivity.

Problems in defining the right requirements: This factor refers to the difficulties or ambiguities in eliciting, analyzing, specifying, validating, or managing the requirements of the project. This may result in misalignment, inconsistencies, gaps, or changes in the requirements, affecting the project scope and quality.

Contractual issues: This factor refers to the challenges or disputes that may arise from the contractual agreements between the project parties, such as clients, suppliers, vendors, or subcontractors. This may result in legal, financial, or ethical risks, affecting the project delivery and satisfaction.

The other options are not correct because they list factors that contribute to PRODUCT risks, not project risks. Product risks are the uncertainties or threats that may affect the quality or functionality of the software product or system. Some of the factors that contribute to product risks are:

Poor software quality characteristics: This factor refers to the lack of adherence or compliance to the quality attributes or criteria of the software product or system, such as reliability, usability, security, performance, or maintainability. This may result in defects, failures, or dissatisfaction of the users or stakeholders.

Software does not perform its intended functions: This factor refers to the deviation or discrepancy between the expected and actual behavior or output of the software product or system. This may result in errors, faults, or malfunctions of the software product or system.

References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 1: Fundamentals of Testing, Section 1.5: Risks and Testing, Pages 14-16.

Use case testing is a technique that helps identify test cases that exercise the whole system on a transaction by transaction basis from start to finish. Use cases are descriptions of how users interact with the system to achieve a specific goal. Use case testing is not focused on data flow, but rather on process flow. Use case testing can be performed by professional testers, customers or end users, depending on the context. Use case testing does not require the test cases to be designed by customers or end users, but rather by anyone who has access to the use case specifications. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, Chapter 4, page 36.

The extent of testing required for a software product depends on various factors, such as the level of risk, the budget, and the time available. The level of risk reflects the potential impact of failures on the stakeholders and the environment. The budget determines how much resources can be allocated for testing. The time available defines the schedule and deadlines for testing activities. The particular tester involved in testing is not a deciding factor for the extent of testing required, as testing should be based on objective criteria and not on personal preferences or abilities. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 2, page 14-15.

To achieve 100% branch coverage of the process flow, we need to test both the true and false outcomes of the condition (User presses Cancel). Branch coverage is a type of structural testing that measures how many decision outcomes in a program have been executed by a test suite. Branch coverage can be used to assess the adequacy or completeness of a test suite.

To test the true outcome of the condition, we need a test case that simulates the user pressing Cancel after booking a bill. This test case will exit the loop and end the process flow.

To test the false outcome of the condition, we need a test case that simulates the user not pressing Cancel after booking a bill. This test case will repeat the loop and book another bill.

Therefore, we need at least two test cases to achieve 100% branch coverage of the process flow. One test case for each possible outcome of the condition.

Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 40-41.

The question is about marking the correct sentences among the given statements related to defects, failures, and mistakes. According to the ISTQB glossary, the definitions of these terms are1:

Defect: A flaw in a component or system that can cause the component or system to fail to perform its required function, e.g. an incorrect statement or data definition. A defect, if encountered during execution, may cause a failure of the component or system.

Failure: An event in which a component or system does not perform a required function within specified limits.

Mistake: A human action that produces an incorrect result.

Therefore, out of the five given statements, only two are correct, namely:

A human mistake may produce a defect: This is true, as a mistake is a source or cause of a defect, e.g. a programmer may make a mistake in writing a code statement, which results in a defect in the software component.

When a defect exists in a system it may result in a failure: This is true, as a defect is a potential or actual cause of a failure, e.g. a defect in the software component may cause the system to fail to perform a required function when the defect is encountered during execution.

The other three statements are incorrect, namely:

Defects are a result of environmental conditions and are also referred to as “Failures”: This is false, as defects are not a result of environmental conditions, but of mistakes or other factors, and defects are not the same as failures, but rather the causes of failures.

A system will totally fail to operate correctly when a failure exists in it: This is false, as a system may not necessarily fail completely or stop operating when a failure occurs, but may continue to operate with reduced functionality or performance, or with incorrect results.

Defects occur only as a result of technology changes: This is false, as defects can occur due to various reasons, not only technology changes, such as human mistakes, design flaws, requirement changes, hardware failures, etc.

References:

1: ISTQB Glossary of Testing Terms 4.0, 2023, available at ISTQB) and ASTQB).

Product risk involves the potential issues that can affect the quality and functionality of the software product, such as defects, performance problems, and usability issues. Project risk, on the other hand, relates to the risks that can impact the project's schedule, budget, and resources, such as delays, cost overruns, and resource constraints. Understanding both types of risks is crucial for managing and mitigating potential problems in software projects.

References: ISTQB CTFL Syllabus, Section 5.2.1, "Risk Management in Testing."

This answer is correct because test implementation is the activity where test work products, such as test cases, test data, test scripts, test harnesses, test stubs, or virtual services, are created and verified. Test implementation also involves setting up the test environment and preparing the test execution schedule. A virtual service emulating a real third-party service and the automated test scripts that interact with that service are examples of test work products that are typically created during test implementation. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.2.2.3

Equivalence partitioning is a technique that divides the input data and output results of a software component into partitions of equivalent data. Each partition should contain data that is treated in the same way by the component. Equivalence partitioning can be used to reduce the number of test cases by selecting one representative value from each partition. Equivalence partitioning is suitable for testing the price computation, as it can identify different partitions based on the passenger type, the travelling type, the distance and the kind of transport. Equivalence partitioning is not statement coverage, which is a technique that measures how many executable statements in a source code are executed by a test suite. Statement coverage is not appropriate for testing the price computation, as it does not consider the input data or output results. Equivalence partitioning is not state transition testing, which is a technique that models how a system transitions from one state to another depending on events or conditions. State transition testing is not relevant for testing the price computation, as it does not involve any states or transitions. Equivalence partitioning is not use case testing, which is a technique that tests how users interact with a system to achieve a specific goal. Use case testing is not applicable for testing the price computation, as it does not focus on a single function or component. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 37-38.

Debugging is the process of finding, analyzing and removing the causes of failures in software. Debugging is not considered part of testing, but rather a development activity that can involve testing. Debugging is not intended to find as many defects as possible, but rather to fix the specific failure that was observed. Debugging is usually performed by developers, not by test engineers. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, Chapter 1, page 6.

The absence-of-errors fallacy, as explained in the ISTQB syllabus, is the erroneous belief that having fewer defects found in testing equates to a system being more successful upon release. This misconception can lead stakeholders to undervalue thorough testing. Answer C illustrates this fallacy perfectly: assuming that because few defects were found, the system will be successful, neglects the many other factors that contribute to system success, including user satisfaction and fit-for-purpose.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 1.1.5 "Absence-of-errors fallacy".

A static analysis tool is a tool that analyzes a given program’s source code or executable code without executing it. A static analysis tool can perform various types of analysis on a program’s code, such as syntax checking, data flow analysis, control flow analysis, complexity measurement, coding standards compliance checking, etc. Control flow analysis is a type of analysis that examines how a program’s statements are executed in different paths or branches. One of the most likely outcomes of control flow analysis is identification of unreachable code, which is code that can never be executed due to logical errors or design flaws. Unreachable code can reduce readability and maintainability of the code, as well as increase complexity and size. The other options are not outcomes of control flow analysis, but rather outcomes of other types of analysis. Report on adherence to coding standards is an outcome of coding standards compliance checking. Number of comment lines and number of source code lines are outcomes of complexity measurement. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 8.

A typical entry criterion for testing is the availability of testable requirements. Testable requirements provide a basis for designing and executing test cases. Without clear and testable requirements, it is challenging to determine what needs to be tested and to create effective test cases. Entry criteria ensure that the necessary preconditions are met before testing begins, which helps in conducting efficient and effective testing.

References: ISTQB CTFL Syllabus, Section 5.1.3, "Entry and Exit Criteria."

Testing can contribute to higher quality by helping to measure the quality of software. Quality is defined as the degree to which a component or system satisfies specified requirements and customer or user needs and expectations. Testing is a process of evaluating a component or system by applying inputs and observing outputs, and comparing them with expected results. Testing can help to measure the quality of software by providing information on its functionality, performance, usability, security, reliability, etc. Testing can also help to identify and report defects in software, which can lead to improvement actions and quality assurance activities. The other options are not accurate descriptions of how testing can contribute to higher quality. Testing does not ensure that remaining defects are documented, but rather that detected defects are reported. Testing does not remove errors in software, but rather finds defects in software behavior or quality. Testing does not eliminate the risk with software, but rather assesses and manages the risk with software. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 3.

Acceptance Test-Driven Development (ATDD) tests focus on verifying whether the system meets the specified acceptance criteria. The most critical path to test first would be the scenario where everything is done correctly (happy path), ensuring the basic functionality works as expected.

The new user provides all valid data.

This ensures the registration form works and the user receives a confirmation email.

This test covers the basic functionality and will help verify that the primary use case is handled correctly before testing invalid or edge cases.

Risk level is determined by the combination of two factors: the likelihood of an event occurring and the impact or harm that could result from that event. This approach allows risks to be prioritized based on their potential effect on the project or system. The likelihood represents the probability of the risk event occurring, while the impact represents the severity of the consequences if the event does happen. This concept is fundamental in risk-based testing and helps guide decision-making during the testing process.References:

ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 1.4.1.

One of the primary objectives of testing is to ensure that the software or system being tested meets all regulatory requirements. This is crucial in many industries where compliance with laws and standards is mandatory. According to the ISTQB CTFL Syllabus v4.0, testing aims to evaluate the quality of the software product and verify that it complies with specified requirements, including regulatory requirements​​.

The choice of a software development lifecycle (SDLC) model is primarily influenced by the type of product being developed. Different products and project requirements may demand different SDLC models to address specific challenges and needs efficiently. For instance, a complex, safety-critical product might best be served by a Waterfall model due to its structured nature and phase dependencies, while a more iterative and incremental model might be suited for projects requiring frequent feedback and changes.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 2.1 "Software Development Lifecycles".

A test status report is a document that provides a snapshot of the testing activities and their progress during a particular period. It should include information about any impediments encountered during the test execution and the actions taken to resolve them, which helps stakeholders understand the challenges and how they were addressed​​ .

Option B describes an activity related to test completion rather than ongoing status reporting. Option C is incorrect because the structure and contents of the report may vary based on the audience's needs. Option D, while important, is not the primary purpose of a test status report, which focuses more on the current status and impediments.

Entry and exit criteria are used to determine when to start and stop testing, respectively.

Entry Criteria:

These are conditions that should be met before testing begins.

Examples:

2. The test automation tool has been installed and properly configured

4. The performance test environment has been set-up and is available

5. The user stories have proper acceptance criteria defined

Exit Criteria:

These are conditions that should be met before testing concludes.

Examples:

1. A defined level of code coverage has been achieved

3. The number of unresolved defects is within the predefined limit

6. The testing budge​ (ISTQB not-for-profit association)​ spent and the project sponsor bears the risk of not testing any further

According to the ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, these criteria help in effectively managing the testing process【6†source】.

References:

Certified Tester Foundation Level v4.0

ISTQB Foundation Level Syllabus 4.0 (2023)

In the context of software testing, the ISTQB Certified Tester Foundation Level (CTFL) v4.0 differentiates between "validation" and "verification" based on their respective focuses in the software development lifecycle. Verification is the process of evaluating a system or component to determine whether the products of a given development phase satisfy the conditions imposed at the start of that phase. In simpler terms, verification is about checking the product against the specified requirements to ensure it was built correctly. Validation, on the other hand, involves evaluating a system or component during or at the end of the development process to determine whether it meets specified requirements for its intended use. This means validation is about ensuring the product fulfills its intended use and meets the needs of the user.

References:

ISTQB CTFL Syllabus v4.0: ISTQB Official Website

ISTQB Foundation Level Resources v4.0: ASTQB Resources

Exploratory testing is an approach to testing that emphasizes learning, test design and test execution at the same time. Exploratory testing relies on the tester’s skills, creativity and intuition to explore the software under test and discover defects. Exploratory testing is suitable for a new project with little documentation and high probability for bugs, as it can help uncover unknown requirements, assumptions and risks. Exploratory testing is not requirements based testing, which is an approach to testing that derives test cases from documented requirements or specifications. Requirements based testing is not feasible for a new project with little documentation, as it requires clear and complete requirements to be available. Exploratory testing is not metric based approach, which is an approach to testing that uses quantitative measures to monitor and control the testing process and evaluate the quality of the software product. Metric based approach is not effective for a new project with high probability for bugs, as it may not capture all aspects of quality and may lead to false confidence or unrealistic expectations. Exploratory testing is not regression testing, which is an approach to testing that verifies that previously tested software still performs correctly after changes. Regression testing is not relevant for a new project with no previous versions or baselines. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 5, page 47-48.

In an Agile project, a tester's responsibilities include understanding, implementing, and updating the test strategy (i), actively collaborating with developers and business stakeholders to clarify requirements, especially in terms of testability, consistency, and completeness (iv), and participating proactively in team retrospective meetings, suggesting and implementing improvements (v). These activities ensure that testing is integrated into the development process, promoting continuous feedback and improvement. The ISTQB CTFL syllabus underlines the collaborative nature of Agile testing and the tester's role in contributing to the team's overall quality goals.

References: ISTQB CTFL Syllabus, Section on Agile Testing Practices.

Static testing is a form of testing that does not involve executing the software, but rather analyzing it for defects, errors, or violations of standards. Static testing can be applied to any software development product, including requirements specifications, design specifications, code, test cases, test plans, user manuals, etc. Static testing can be done by using various techniques such as reviews, inspections, walkthroughs, checklists, static analysis tools, etc. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 7.

As a functional tester, you should open a defect report providing detailed information on which devices and by running which tests you observed the issue. A defect report is a document that records the occurrence, nature, and status of a defect detected during testing, and provides information for further investigation and resolution. A defect report should include relevant information such as the defect summary, the defect description, the defect severity, the defect priority, the defect status, the defect origin, the defect category, the defect reproduction steps, the defect screenshots, the defect attachments, etc. Opening a defect report is a good practice for any tester who finds a defect in the software system, regardless of the type or level of testing performed. The other options are not recommended, because:

The issue is related to performance efficiency, not functionality, but that does not mean that as a functional tester, you should not open any defect report as all the functional tests passed. Performance efficiency is a quality characteristic that measures how well the software system performs its functions under stated conditions, such as the response time, the resource utilization, the throughput, etc. Performance efficiency is an important aspect of the user experience, especially for web applications that run on different devices and networks. Even if the functional tests passed, meaning that the software system met the functional requirements, the performance issue observed on some devices could still affect the user satisfaction, the usability, the reliability, and the security of the software system. Therefore, as a functional tester, you have the responsibility to report the performance issue as a defect, and provide as much information as possible to help the developers or the performance testers to investigate and resolve it.

In Agile teams using the planning poker technique for estimating user stories, it is common practice to have further discussions and rounds of estimation if there is a significant discrepancy in the initial estimates. This helps in reaching a consensus and ensures that all team members understand the complexity and requirements of the user story. According to the ISTQB CTFL syllabus, planning poker involves discussions to clarify differences in estimates, especially when there is a wide range of values selected. By having Memb6 and Memb4, who provided the most pessimistic and optimistic estimates, explain their reasoning, it fosters a deeper understanding and encourages the team to converge towards a more accurate and agreed-upon estimate.

References: ISTQB CTFL Syllabus, Section on Agile methodologies and estimation techniques.

When scheduling test cases, priorities and dependencies must be considered. The best execution order will respect both the logical dependencies and the priorities assigned to each test case.

Given the options, the correct order considering the priorities and dependencies is:

TC1 (Priority 1)

**TC​ (ISTQB not-for-profit association)​ity 2, dependent on TC1)

TC2 (Priority 3, dependent on TC1)

TC4 (Priority 4)

TC5 (Priority 5)

TC6 (Priority 6, dependent on TC4)

According to the ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, understanding dependencies and scheduling tests accordingly is crucial for effective test execution【6†source】.

References:

Certified Tester Foundation Level v4.0

ISTQB Foundation Level Syllabus 4.0 (2023)

The support offered by a performance testing tool is often leveraged by testers to run load tests, which are tests that simulate a large number of concurrent users or transactions on the system under test, in order to measure its performance, reliability, and scalability. Performance testing tools can help testers to generate realistic workloads, monitor system behavior, collect and analyze performance metrics, and identify performance bottlenecks. The other statements are false, because:

A test data preparation tool is a tool that helps testers to create, manage, and manipulate test data, which are the inputs and outputs of test cases. Test data preparation tools are not directly related to running automated regression test suites, which are test suites that verify that the system still works as expected after changes or modifications. Regression test suites are usually executed by test execution tools, which are tools that can automatically run test cases and compare actual results with expected results.

A bug prediction tool is a tool that uses machine learning or statistical techniques to predict the likelihood of defects in a software system, based on various factors such as code complexity, code churn, code coverage, code smells, etc. Bug prediction tools are not used by testers to track the bugs they found, which are the actual defects that have been detected and reported during testing. Bugs are usually tracked by defect management tools, which are tools that help testers to record, monitor, analyze, and resolve defects.

A continuous integration tool is a tool that enables the integration of code changes from multiple developers into a shared repository, and the execution of automated builds and tests, in order to ensure the quality and consistency of the software system. Continuous integration tools are not used by testers to automatically generate test cases from a model, which are test cases that are derived from a representation of the system under test, such as a state diagram, a decision table, a use case, etc. Test cases can be automatically generated by test design tools, which are tools that support the implementation and maintenance of test cases, based on test design specifications or test models. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 3.4.1, Types of Test Tools

ISTQB® Glossary of Testing Terms v4.0, Performance Testing Tool, Test Data Preparation Tool, Bug Prediction Tool, Continuous Integration Tool, Test Execution Tool, Defect Management Tool, Test Design Tool

Test automation provides numerous benefits to software testing, and one of the key advantages is the reduction of repetitive manual work. This benefit is explicitly covered in the ISTQB Foundation Level Syllabus (v4.0).

Test automation allows testers to automate repetitive tasks such as regression testing, freeing up their time to focus on more complex and exploratory testing. This leads to improved efficiency and helps in avoiding human errors associated with repetitive tasks.

Option A: "More subjective assessment" contradicts the benefit of automation as it focuses on objectivity.

Option C: "Availability of the test automation tool vendor" is not a direct benefit of test automation, although vendor support can be valuable.

Option D: "Negligible effort to maintain the test assets" is misleading as maintaining automated tests often requires effort and attention to changes in the system under test.

Therefore, the correct answer is B​ (ISTQB not-for-profit association)​​ (ISTQB)​.

References:

Certified Tester Foundation Level v4.0

ISTQB Foundation Level Syllabus 4.0 (2023)

A pilot project is a small-scale experiment or trial that is conducted to evaluate the feasibility, effectiveness, and suitability of a test automation tool before implementing it on a larger scale1.

The objectives of a pilot project may vary depending on the context and scope of the test automation initiative, but some common ones are2:

To get familiar with the functionality and options of the tool

To check how the tool fits to the existing test processes and environment

To assess the benefits and challenges of using the tool

To decide upon standards and guidelines for tool implementation and usage

To estimate the costs and resources required for tool deployment and maintenance

Therefore, option C is not a valid objective of a pilot project, as it is not necessary to train all testers on using the tool at this stage. Training all testers on using the tool would be more appropriate after the tool has been selected and approved for full-scale implementation, and after the standards and guidelines have been established. Training all testers on using the tool during the pilot project would be inefficient, costly, and premature, as the tool may not be suitable or effective for the intended purpose, or may be replaced by another tool later.

References:

1: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 82

2: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 83

: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 84

: ISTQB Certified Tester Foundation Level Syllabus 2018, Version 4.0, p. 85

You should choose a test technique because you need to match the way you test to the content of the product under test. A test technique is a method or process for deriving and selecting test cases based on some criteria or rules. Different test techniques are suitable for different types of software products, depending on their characteristics, functionalities, requirements, specifications, risks, etc. Choosing a test technique helps to ensure that the test cases are relevant, effective, and efficient for the product under test. The other options are not correct reasons to choose a test technique. Time constraints are not a factor for choosing a test technique, but rather for prioritizing or optimizing testing activities. Covering the full scope of the product’s functionality is not a guarantee of choosing a test technique, but rather a goal of testing. Choosing a test technique is not a common practice in software testing, but rather a professional skill and responsibility. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 31.

One of the common risks associated with test automation tools is the underestimation of the effort required to maintain test scripts. Test scripts can become outdated or broken due to changes in the application, requiring significant effort to update and maintain them. This risk is highlighted in the ISTQB CTFL syllabus under the discussion of the benefits and risks of test automation.

References: ISTQB CTFL Syllabus, Section on test tools and automation.

 If a program got 100% decision coverage in a test, then it is guaranteed that every executable statement is covered. Decision coverage (also known as branch coverage) is a type of structural coverage (also known as white-box coverage) that measures how many decision outcomes have been exercised by a test suite. A decision outcome is a possible result of a decision point (such as an if-then-else statement) in a program’s code. Decision coverage requires that each decision point has both true and false outcomes executed at least once by a test suite. Decision coverage implies statement coverage, which is another type of structural coverage that measures how many executable statements have been executed by a test suite. Statement coverage requires that each executable statement is executed at least once by a test suite. Therefore, if a program got 100% decision coverage in a test, then it also got 100% statement coverage in a test, which means that every executable statement is covered. The other options are not guaranteed to be true if a program got 100% decision coverage in a test. Every output equivalence class has been tested and every input equivalence class has been tested are not guaranteed to be true if a program got 100% decision coverage in a test, because equivalence classes are based on functional requirements or specifications, not on code structure or logic. Equivalence classes are used in specification-based testing (also known as black-box testing), which is a type of testing that does not consider the internal structure or implementation of the system under test. Decision coverage is used in structure-based testing (also known as white-box testing), which is a type of testing that considers the internal structure or implementation of the system under test. Therefore, achieving 100% decision coverage does not imply achieving 100% equivalence class coverage. The “dead” code has not been covered is not guaranteed to be true if a program got 100% decision coverage in a test, because dead code (also known as unreachable code) is code that can never be executed due to logical errors or design flaws. Dead code can reduce readability and maintainability of the code, as well as increase complexity and size. Decision coverage does not account for dead code, as it only considers the decision outcomes that are possible to execute. Therefore, achieving 100% decision coverage does not imply that the dead code has not been covered. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 36.

To achieve 100% statement coverage, we need to design test cases that ensure every statement in the given pseudo-code is executed at least once. Analyzing the pseudo-code, we notice that there are conditions based on two variables: Gender and Age. To cover all statements, we need to consider the paths that lead to each assignment of the Shoe Size variable.

Gender = Boy, Age <= 3 (Shoe Size assignment is not reached, but the condition is evaluated)

Gender = Boy, Age > 3 AND Age < 5 (Shoe Size = 1)

Gender = Boy, Age >= 5 AND Age < 7 (Shoe Size = 2)

Gender != Boy, Age <= 3 (Again, Shoe Size assignment is not reached, but the condition is evaluated)

Gender != Boy, Age > 3 AND Age < 5 (Shoe Size = 0)

Gender != Boy, Age >= 5 AND Age < 7 (Shoe Size = 1)

However, upon closer inspection, we see that tests 1 and 4 do not contribute to statement coverage as they do not lead to a Shoe Size assignment. Therefore, we only need 4 test cases to achieve 100% statement coverage, making option B the correct answer.

White-box test techniques are test design techniques where the test cases are derived from the internal structure of the software, including its architecture, code, and logical flow. These techniques involve the tester having knowledge of the internal workings of the software to create test cases that ensure all possible paths and conditions are tested. This is in contrast to black-box test techniques, which focus on input-output behavior without considering the internal structure. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3

A correct list of boundary values for the P input should include the minimum and maximum values of the valid range (15 and 350), as well as the values just below and above the boundaries (14 and 351). Boundary value analysis is a test design technique that involves testing the values at or near the boundaries of an input domain or output range, as these values are more likely to cause errors than values in the middle. Option B satisfies this condition, as it has all four boundary values (14, 15, 350, 351). Option A has two values from the same equivalence class (1000 and 99999), option C has two values outside the range (999 and 100000), and option D has no boundary values at all. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 34.

The testing of software does not demonstrate the absence of defects, but rather the presence of defects or the conformance of the software to the specified requirements1. Testing can never prove that the software is defect-free, as it is impossible to test all possible scenarios, inputs, outputs, and behaviors of the software2. Testing can only provide a level of confidence in the quality of the software, based on the coverage, effectiveness, and efficiency of the testing activities3.

The other options are correct because:

A. Properly designed tests that pass reduce the level of risk in a system, as they verify that the system meets the expected quality attributes and satisfies the needs and expectations of the users and clients4. Risk is the potential for loss or harm due to the occurrence of an undesirable event5. Testing can help to identify, analyze, prioritize, and mitigate the risks associated with the software product and project6.

C. Software testing identifies defects, which can be used to improve development activities, as they provide feedback on the quality of the software and the effectiveness of the development processes7. Defects are flaws or errors in the software that cause it to deviate from the expected or required results or behavior. Testing can help to detect, report, track, and resolve the defects, and prevent them from recurring in the future.

D. Performing a review of the requirement specifications before implementing the system can enhance quality, as it can ensure that the requirements are clear, complete, consistent, testable, and aligned with the needs and expectations of the users and clients. Requirements are the specifications of what the software should do and how it should do it. Testing can help to validate that the requirements are met by the software, and verify that the software is implemented according to the requirements.

References =

1 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 10

2 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 11

3 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 12

4 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 13

5 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 97

6 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 98

7 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 14

[8] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 15

[9] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 16

[10] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 17

[11] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 18

[12] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 19

The most important report improvement for the given incident report would be to add information about which web browser was used when the defect was detected. This information is relevant for reproducing and debugging the defect, as different web browsers may have different behaviors or compatibility issues with the web application. The other options are less important or irrelevant for the incident report. The developer who should fix the bug can be assigned by the project manager or the defect tracking system, not by the tester who reports the defect. The time stamp when the incident happened is not very useful, as it does not indicate the cause or the frequency of the defect. The impact analysis is not part of the incident report, but rather of the risk assessment or prioritization process. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 140.

Non-functional testing includes testing of both technical and non-technical quality characteristics. Non-functional testing is the process of testing the quality attributes of a system, such as performance, usability, security, reliability, etc. Non-functional testing can be applied at any test level and can use both black-box and white-box test techniques. Non-functional testing can cover both technical aspects, such as response time, throughput, resource consumption, etc., and non-technical aspects, such as user satisfaction, accessibility, compliance, etc. Therefore, option B is the correct answer.

References: ISTQB® Certified Tester Foundation Level Syllabus v4.01, Section 1.3.1, page 13; ISTQB® Glossary v4.02, page 40.

A formal review is a type of review that follows a defined process with formal entry and exit criteria and roles and responsibilities for participants. A formal review can have various roles involved, such as manager, moderator, author, reviewer and scribe. The manager responsibilities in formal review include all except one of the following:

Planning the review (correct responsibility)

Determines if the review objectives have been met (incorrect responsibility)

Decide on the execution of reviews (correct responsibility)

Allocate time for review (correct responsibility) The responsibility of determining if the review objectives have been met belongs to the moderator role, not to the manager role. Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 3, page 28-29.

In Agile development, an informal review, often referred to as a "buddy check," is a common review type. Informal reviews are unstructured and involve a pair of colleagues reviewing each other’s work to identify defects early and provide immediate feedback. This type of review is less formal than inspections or walkthroughs and is particularly suitable for Agile environments where rapid feedback and flexibility are essential.

References: ISTQB CTFL Syllabus, Section 3.2.4, "Types of Reviews" and Section 2.1.4, "Agile Testing Practices."

Statements II, III and V are true about test reports. Test reports are documents that provide information on the results and status of testing activities for a given period or phase. Test reports should give stakeholders information as basis for decisions, such as whether to release the software product, whether to continue testing, whether to change the scope or priorities of testing, etc. Test reports should summarize what happened through a period of testing, such as what test cases were executed, what defects were found, what risks were identified, what issues were encountered, what achievements were made, etc. Test reports should include information about remaining risks, such as what defects are still open, what test cases are still pending, what functionalities are still untested, what uncertainties are still unresolved, etc. Statements I and IV are not true about test reports. Test reports do not need to be approved by the test team, the development team, or the customer, unless it is specified by the test policy or the test plan. Test reports only need to be reviewed and verified by the test leader or the test manager before being distributed to the intended recipients. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 141.

The state transition diagram provided shows three distinct states:

Waiting for fingerprint

Waiting for PIN

Valid PIN/ask menu selection

Each state represents a different stage in the system's operation, with transitions based on user actions and system responses​​.

Experience-based testing techniques leverage the tester's intuition and prior experience to identify defects that systematic techniques might miss. These techniques are valuable because they can uncover issues based on real-world usage and scenarios that aren't always covered by more formalized black-box and white-box methods. The ISTQB CTFL Syllabus v4.0 highlights the complementary nature of experience-based techniques in providing a broader defect detection strategy​​.

According to the ISTQB CTFL syllabus, a defect is a deviation from the expected result which in this scenario is the incorrect discount applied to the customers. The root cause, as per the ISTQB definition, is the originating cause of a defect, which in this case is the incorrect requirement stating 50% instead of 5%. Therefore, the incorrect requirement is the root cause and the customer receiving the wrong discount is the effect of this root cause.References:ISTQB Certified Tester Foundation Level Syllabus v4.0, Section 1.4.3 "Defects, Root Causes, and Effects".

Statement coverage is a structural coverage metric that measures the percentage of executable statements in the source code that are executed by a test suite1. Decision coverage is another structural coverage metric that measures the percentage of decision outcomes (such as branches or conditions) in the source code that are executed by a test suite1. Decision coverage is a stronger metric than statement coverage, because it requires that every possible outcome of each decision is tested, while statement coverage only requires that every statement is executed at least once2. Therefore, if a test suite achieves 100% decision coverage, it also implies that it achieves 100% statement coverage, because every statement in every branch or condition must have been executed. However, the converse is not true: 100% statement coverage does not guarantee 100% decision coverage, because some branches or conditions may have multiple outcomes that are not tested by the test suite2. For example, consider the following pseudocode:

if (x > 0) then print(“Positive”) else print(“Non-positive”) end if

A test suite that executes this code with x = 1 and x = -1 will achieve 100% statement coverage, because both print statements are executed. However, it will not achieve 100% decision coverage, because the condition x > 0 has only been tested with two outcomes: true and false. The third possible outcome, x = 0, has not been tested by the test suite. Therefore, the test suite may miss a potential bug or error in the condition or the branch.

The other options, such as stale transition coverage, equivalence class coverage, and boundary value coverage, are not guaranteed to be 100% by achieving 100% decision coverage. Stale transition coverage is a structural coverage metric that measures the percentage of transitions between states in a state machine that are executed by a test suite3. Equivalence class coverage is a functional coverage metric that measures the percentage of equivalence classes (or partitions) of input or output values that are tested by a test suite4. Boundary value coverage is another functional coverage metric that measures the percentage of boundary values (or extreme values) of input or output ranges that are tested by a test suite4. These metrics are independent of decision coverage, because they are based on different aspects of the system under test, such as its behavior, functionality, or specification. Therefore, achieving 100% decision coverage does not imply achieving 100% of any of these metrics, and vice versa. References = ISTQB® Certified Tester Foundation Level Syllabus v4.0, Test Coverage in Software Testing - Guru99, Structural Coverage Metrics - MATLAB & Simulink - MathWorks India, Test Design Coverage in Software Testing - GeeksforGeeks.

The features of the test object to be tested and those excluded from the testing represent information that is usually included in a test plan and, in the given test plan, it is more likely to be specified within “Test Scope” rather than in the other two sections mentioned. The test scope defines the boundaries and limitations of the testing activities, such as the test items, the features to be tested, the features not to be tested, the test objectives, the test environment, the test resources, the test assumptions, the test risks, etc. The test scope helps to establish a common understanding of what is included and excluded from the testing, and to avoid ambiguity, confusion, or misunderstanding among the stakeholders. The other two sections, “Testing Communication” and “Stakeholders”, are also important parts of a test plan, but they do not directly address the features of the test object. The testing communication describes the methods, frequency, and responsibilities for the communication and reporting of the testing progress, status, issues, and results. The stakeholders identify the roles and responsibilities of the people involved in or affected by the testing activities, such as the test manager, the test team, the project manager, the developers, the customers, the users, etc. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.1, Test Planning1

ISTQB® Glossary of Testing Terms v4.0, Test Plan, Test Scope2