CTFL_Syll_4.0 ISTQB Certified Tester Foundation Level (CTFL) v4.0 Questions and Answers

Experience-based testing techniques are adopted for several reasons, most importantly because they can identify defects that might be missed by more systematic approaches like black-box and white-box testing. While systematic techniques follow predefined procedures and cover specific criteria, experience-based techniques leverage the tester's knowledge, intuition, and experience, which can be especially effective in uncovering subtle and complex issues.

Experience-based testing techniques include methods such as error guessing and exploratory testing. These methods rely on the tester’s background and intuition to predict where defects might be located and how the system might fail. These techniques are particularly useful in situations where the requirements and specifications are incomplete or ambiguous, and where creative and ad-hoc approaches can provide significant value.

References:

The official ISTQB® CTFL syllabus emphasizes that experience-based techniques can find defects that more systematic techniques might miss, which makes them valuable complements to other testing methods​​.

To determine the correct execution order that minimizes the number of configuration switches and respects the dependencies, we need to consider the following:

Initial Configuration: CONF1.

Dependencies:

TC1 depends on nothing.

TC2 depends on TC4.

TC3 depends on TC4.

TC4 depends on nothing.

TC5 depends on TC1.

Configuration Requirements:

TC1 requires CONF2.

TC2 requires CONF2.

TC3 requires CONF1.

TC4 requires CONF1.

TC5 requires CONF2.

Given the initial configuration is CONF1, start with test cases that can run on CONF1 and respect the dependencies. Then switch to CONF2 only when necessary. The optimal order to minimize configuration switches is:

Start with TC4 (no dependencies, CONF1).

Continue with TC3 (depends on TC4, CONF1).

Switch to CONF2.

Execute TC2 (depends on TC4, CONF2).

Continue with TC1 (no dependencies, CONF2).

Finally, execute TC5 (depends on TC1, CONF2).

Therefore, the correct order is:

TC4 (CONF1)

TC3 (CONF1)

TC2 (CONF2)

TC1 (CONF2)

TC5 (CONF2)

Thus, the answer is A. TC4, TC3, TC2, TC1, TC5.

The fact that defects are usually not evenly distributed among the various modules that make up a software application, but rather their distribution tend to reflect the Pareto principle, is expressed by the testing principle referred to as ‘Defects cluster together’. This principle states that a small number of modules contain most of the defects detected, or that a small number of causes are responsible for most of the defects. This principle can be used to guide the test analysis and design activities, by prioritizing the testing of the most critical or risky modules, or by applying more rigorous test techniques to them. Therefore, option C is the correct answer.

References: ISTQB® Certified Tester Foundation Level Syllabus v4.01, Section 1.2.1, page 11; ISTQB® Glossary v4.02, page 16.

Confirmation testing is performed after a defect is fixed, and if such testing is successful then the regression tests that are relevant for such fix can be executed. Confirmation testing, also known as re-testing, is the process of verifying that a defect has been resolved by running the test case that originally detected the defect. Confirmation testing is usually done before regression testing, which is the process of verifying that no new defects have been introduced in the software as a result of changes or fixes. Therefore, option D is the correct answer.

References: ISTQB® Certified Tester Foundation Level Syllabus v4.01, Section 2.4.1, page 28; ISTQB® Glossary v4.02, page 15.

When deciding on the order of test execution based on priorities and dependencies, the correct sequence should consider both the priority levels and any dependencies between test cases. Here’s the analysis:

Test B has the highest priority (1) and depends on Test D.

Test D should be executed before Test B.

Test C has a medium priority (2) and depends on Test A.

Test A can be executed at any time since it has no dependencies.

Considering these dependencies and priorities, Test D should be executed first, followed by Test B. After that, Test A and finally Test C. Therefore, the correct sequence is D-B-A-C​​.

To determine the correct execution order that minimizes the number of configuration switches and respects the dependencies, we need to consider the following:

Initial Configuration: CONF1.

Dependencies:

TC1 depends on nothing.

TC2 depends on TC4.

TC3 depends on TC4.

TC4 depends on nothing.

TC5 depends on TC1.

Configuration Requirements:

TC1 requires CONF2.

TC2 requires CONF2.

TC3 requires CONF1.

TC4 requires CONF1.

TC5 requires CONF2.

Given the initial configuration is CONF1, start with test cases that can run on CONF1 and respect the dependencies. Then switch to CONF2 only when necessary. The optimal order to minimize configuration switches is:

Start with TC4 (no dependencies, CONF1).

Continue with TC3 (depends on TC4, CONF1).

Switch to CONF2.

Execute TC2 (depends on TC4, CONF2).

Continue with TC1 (no dependencies, CONF2).

Finally, execute TC5 (depends on TC1, CONF2).

Therefore, the correct order is:

TC4 (CONF1)

TC3 (CONF1)

TC2 (CONF2)

TC1 (CONF2)

TC5 (CONF2)

Thus, the answer is A. TC4, TC3, TC2, TC1, TC5.

The question is about selecting the correct test values for x based on equivalence partitioning. Equivalence partitioning is a software test design technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived. In this case, the given equivalence classes are:

(x \leq -100)

(-100 < x < 100)

(100 \leq x < 1000)

(x \geq 1000)

Option D provides a value from each of these partitions:

For (x \leq -100), it gives -1000.

For (-100 < x < 100), it gives -100 and 100.

For (100 \leq x < 1000), it gives 500.

For (x \geq 1000), it gives 1500.

So, option D covers all four given equivalence classes with appropriate values.

References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 documents available at ISTQB and ASTQB.

1: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 38

2: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 39

: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 40

This answer is correct because static testing and dynamic testing are both types of testing that can be used to highlight issues associated with non-functional characteristics, such as usability, performance, security, reliability, etc. Static testing is a type of testing that involves the analysis of software work products, such as requirements, design, code, or test cases, without executing them. Dynamic testing is a type of testing that involves the execution of software work products, such as code or test cases, using inputs and verifying outputs. Both static testing and dynamic testing can be applied to different test levels and test types, and can use different test techniques and tools, to evaluate the non-functional characteristics of the software product. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.2.1.1, Section 2.2.1.2

Performing static testing on a commercially available executable library can raise legal issues, primarily related to the ownership and licensing of the software. These libraries are often proprietary, and analyzing them without permission may violate software licenses or intellectual property laws. Static testing typically involves analyzing source code, which may not be accessible for such libraries without appropriate permissions.

References:

ISTQB CTFL Syllabus V4.0, Section 3.2.2 on legal and ethical considerations in static testing​​.

A mature software testing company, especially one certified at TMMi level 5, is expected to have well-defined and adaptable processes. These companies recognize that test design techniques should be chosen based on the specific context of the project, including the domain and stakeholder expectations, rather than using a one-size-fits-all approach. This ensures that the testing is effective and aligned with project requirements.

References:

ISTQB CTFL Syllabus V4.0, Section 5.1 on test design techniques and their selection based on context​​.

To determine the number of partitions using one-dimensional equivalence partitioning, we need to consider each aspect of the ID requirement individually.

Length of the ID:

Valid partitions: 5 to 10 characters (1 partition)

Invalid partitions: Less than 5 characters, more than 10 characters (2 partitions)

Type of characters:

Valid partitions: Alphanumeric characters (1 partition)

Invalid partitions: Non-alphanumeric characters (1 partition)

Type of first character:

Valid partitions: First character is a letter (1 partition)

Invalid partitions: First character is not a letter (1 partition)

Adding these together, we have a total of 1 (valid length) + 2 (invalid lengths) + 1 (valid type) + 1 (invalid type) + 1 (valid first character) + 1 (invalid first character) = 7 partitions.

This answer is correct because error guessing is a test design technique where the experience and intuition of the tester are used to anticipate where errors, defects and failures have occurred or are likely to occur, and to design test cases to expose them. Error guessing can be based on factors such as the complexity of the system or component, the known or suspected weaknesses of the system or component, the previous history of defects, or the common types of errors in the domain or technology. Error guessing can be used as a complementary technique to other more systematic or formal techniques, or when there is insufficient information or time to apply them. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.3.2.5

The tool described in the question supports the automated creation and installation of builds and the execution of various types of automated tests. This aligns with the practices and tools typically found in DevOps environments, which aim to integrate and automate the processes between software development and IT teams. DevOps tools facilitate continuous integration (CI) and continuous delivery (CD), enabling automated building, testing, and deployment of applications. Therefore, the correct answer is that this is an example of DevOps related tools​​.

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

Independent of the software development lifecycle followed, it is a good practice to ensure that each test level (e.g., unit testing, integration testing, system testing) has clear and appropriate objectives. This ensures that the testing is focused and effective at each level. Other options either contradict good practices or are not applicable across all lifecycle models.

References:

ISTQB CTFL Syllabus V4.0, Section 1.4.1 on test levels and objectives, emphasizing the importance of defining clear test objectives for each level of testing​​.

Exploratory testing is an experience-based test technique in which testers dynamically design and execute tests based on their knowledge, intuition, and learning of the software system, without following predefined test scripts or test cases. Exploratory testing can be conducted following a session-based approach, which is a structured way of managing and measuring exploratory testing. In a session-based approach, the testers perform uninterrupted test sessions, usually lasting between 60 and 120 minutes, with a specific charter or goal, and document the issues detected, the test coverage achieved, and the time spent in session sheets. Session sheets are records of the test activities, results, and observations during a test session, which can be used for reporting, debriefing, and learning purposes. The other statements are false, because:

Exploratory testing is not a test technique in which testers explore the requirements specification to detect non testable requirements, but rather a test technique in which testers explore the software system to detect functional and non-functional defects, as well as to learn new information, risks, or opportunities. Non testable requirements are requirements that are ambiguous, incomplete, inconsistent, or not verifiable, which can affect the quality and effectiveness of the testing process. Non testable requirements can be detected by applying static testing techniques, such as reviews or inspections, to the requirements specification, before the software system is developed or tested.

Exploratory testing is not a test technique used by testers during informal code reviews to find defects by exploring the source code, but rather a test technique used by testers during dynamic testing to find defects by exploring the behavior and performance of the software system, without examining the source code. Informal code reviews are static testing techniques, in which the source code is analyzed by one or more reviewers, without following a formal process or using a checklist, to identify defects, violations, or improvements. Informal code reviews are usually performed by developers or peers, not by testers.

In exploratory testing, testers usually do not produce scripted tests and establish bidirectional traceability between these tests and the items of the test basis, but rather produce unscripted tests and adapt them based on the feedback and the findings of the testing process. Scripted tests are tests that are designed and documented in advance, with predefined inputs, outputs, and expected results, and are executed according to a test plan or a test procedure. Bidirectional traceability is the ability to trace both forward and backward the relationships between the items of the test basis, such as the requirements, the design, the risks, etc., and the test artifacts, such as the test cases, the test results, the defects, etc. Scripted tests and bidirectional traceability are usually associated with more formal and structured testing approaches, such as specification-based or structure-based test techniques, not with exploratory testing. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.2.3, Experience-based Test Design Techniques1

ISTQB® Glossary of Testing Terms v4.0, Exploratory Testing, Session-based Testing, Session Sheet, Non Testable Requirement, Static Testing, Informal Review, Dynamic Testing, Scripted Testing, Bidirectional Traceability2

Quality Assurance (QA) and Quality Control (QC) are both essential aspects of a comprehensive quality management system but they serve different purposes:

Quality Assurance (QA): QA is a process-oriented approach that focuses on preventing defects by improving the processes used to develop and test products. It involves setting up processes, methodologies, and standards to ensure that the product meets quality requirements​​.

Quality Control (QC): QC is a product-oriented approach that focuses on identifying defects in the final products. It involves activities such as inspection, testing, and review to ensure that the product meets the specified requirements and standards​​.

Thus, the main difference is that QA is process-oriented and preventive, while QC is product-oriented and corrective.

Effort estimate does not depend on the budget of the project, but rather on the scope, complexity, and quality of the software product and the testing activities1. Budget is a constraint that may affect the feasibility and accuracy of the effort estimate, but it is not a factor that determines the effort estimate. Effort estimate is the amount of work required to complete the testing activities, measured in terms of person-hours, person-days, or person-months2.

The other options are correct because:

A. Once the test effort is estimated, resources can be identified and a schedule can be drawn up, as they are interrelated aspects of the test planning process3. Resources are the people, tools, equipment, and facilities needed to perform the testing activities4. Schedule is the time frame and sequence of the testing activities, aligned with the project milestones and deadlines5.

B. Effort estimate can be inaccurate because the quality of the product under tests is not known, as it affects the number and severity of the defects that may be found and the rework that may be needed to fix them6. Quality is the degree to which the software product satisfies the specified requirements and meets the needs and expectations of the users and clients7.

D. Experience based estimation is one of the estimation techniques, which relies on the judgment and expertise of the testers and other project stakeholders to estimate the test effort based on similar projects or tasks done in the past. Experience based estimation can be useful when there is a lack of historical data, formal methods, or detailed information about the software product and the testing activities.

References =

1 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 154

2 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 155

3 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 156

4 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 157

5 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 158

6 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 159

7 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 16

[8] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 160

[9] ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 161

Independent of the software development lifecycle followed, it is a good practice to ensure that each test level (e.g., unit testing, integration testing, system testing) has clear and appropriate objectives. This ensures that the testing is focused and effective at each level. Other options either contradict good practices or are not applicable across all lifecycle models.

References:

ISTQB CTFL Syllabus V4.0, Section 1.4.1 on test levels and objectives, emphasizing the importance of defining clear test objectives for each level of testing​​.

Test planning is a critical phase in the software testing life cycle where the schedule for each testing activity and test milestones for a test project are determined. This involves using activity estimates, available resources, and other constraints to outline a comprehensive plan for the entire testing process. The main objective of test planning is to ensure that all testing activities are well-coordinated and that the testing process is efficient and effective. This phase sets the foundation for subsequent phases such as test analysis, test design, and test execution by providing a clear roadmap and allocation of resources.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 5.1, page 47: Test Planning

During release planning, a tester adds value by assessing the testability of user stories. This involves evaluating whether the user stories are clear, concise, and testable. The tester ensures that the acceptance criteria are well-defined and that the stories can be effectively tested within the given timeframe.

References:

ISTQB CTFL Syllabus V4.0, Section 5.1.2 on the tester's contribution to iteration and release planning, which includes assessing the testability of user stories​​.

The testing quadrants, as defined in the context of agile testing, help categorize different types of tests based on their goals and who they serve.

Q1: Technology-facing tests that support the team (e.g., unit tests).

Q2: Business-facing tests that support the team (e.g., automated acceptance tests, BDD, ATDD).

Q3: Business-facing tests that critique the product (e.g., exploratory testing).

Q4: Technology-facing tests that critique the product (e.g., performance and load tests).

Option B correctly places automated acceptance tests from BDD and ATDD in quadrant Q2.

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 tests at the bottom layer of the test pyramid run faster than the tests at the top layer of the pyramid because they are more focused, isolated, and atomic. They usually test individual units or components of the software system, such as classes, methods, or functions. They are also easier to maintain and execute, as they have fewer dependencies and interactions with other parts of the system. The tests at the top layer of the test pyramid, on the other hand, are slower because they cover larger pieces of functionalities, such as user interfaces, workflows, or end-to-end scenarios. They also have more dependencies and interactions with other systems, such as databases, networks, or external services. They are more complex and costly to maintain and execute, as they require more setup and teardown procedures, test data, and test environments. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 3.2.1, Test Pyramid1

ISTQB® Glossary of Testing Terms v4.0, Test Pyramid2

In the ISTQB CTFL Syllabus, it is stated that a key objective of testing is to verify that the test object meets regulatory requirements. This is crucial as compliance with regulatory standards ensures that the software adheres to necessary laws, guidelines, and safety standards which are often mandatory in various industries such as healthcare, finance, and aviation. Ensuring regulatory compliance helps prevent legal issues and promotes user safety and trust.

This answer is correct because configuration management is a process of establishing and maintaining consistency of a product’s performance, functional, and physical attributes with its requirements, design, and operational information throughout its life. Configuration management helps ensure that all relevant project documentation and software items are uniquely identified in all their versions and therefore can be unambiguously referenced in test documentation. This supports testing by providing traceability, consistency, and control over the test artifacts and the software under test. References: : ISTQB Glossary of Testing Terms v4.0, : ISTQB Foundation Level Syllabus v4.0, Section 2.2.2.2

Selecting a tester with the required knowledge related to compliance and standards is a correct mitigation option, especially in a highly regulated domain like healthcare. This approach ensures that the tester understands the specific regulatory requirements and standards applicable to the software, thereby reducing the risk of non-compliance. This is more effective than just increasing the number of testers, as it directly addresses the knowledge and expertise needed to mitigate specific product risks​​.

This answer is correct because configuration management is a process of establishing and maintaining consistency of a product’s performance, functional, and physical attributes with its requirements, design, and operational information throughout its life. Configuration management helps ensure that all relevant project documentation and software items are uniquely identified in all their versions and therefore can be unambiguously referenced in test documentation. This supports testing by providing traceability, consistency, and control over the test artifacts and the software under test. References: : ISTQB Glossary of Testing Terms v4.0, : ISTQB Foundation Level Syllabus v4.0, Section 2.2.2.2

When deciding on the order of test execution based on priorities and dependencies, the correct sequence should consider both the priority levels and any dependencies between test cases. Here’s the analysis:

Test B has the highest priority (1) and depends on Test D.

Test D should be executed before Test B.

Test C has a medium priority (2) and depends on Test A.

Test A can be executed at any time since it has no dependencies.

Considering these dependencies and priorities, Test D should be executed first, followed by Test B. After that, Test A and finally Test C. Therefore, the correct sequence is D-B-A-C​​.

White-box testing, also known as structural testing, involves testing the internal structures or workings of an application, as opposed to its functionality (which is tested by black-box testing). The correct statement about white-box testing is that it helps find defects by measuring aspects such as statement coverage.

Statement Coverage: White-box testing techniques like statement coverage measure whether each statement in the code has been executed at least once. This helps ensure that all parts of the code are tested and can reveal defects in areas that might not be reached by black-box testing alone​​.

Other statements are less accurate in the context of white-box testing:

Specifications being vague: White-box testing is code-focused, not requirement-focused. If specifications are vague, it affects both white-box and black-box testing. The main advantage of white-box testing is that it allows testers to create tests based on the code's structure and logic​​.

Requirements-based coverage: This is typically associated with black-box testing, which derives tests from specifications and requirements. White-box testing, on the other hand, derives tests from the code itself​​.

Focus on defects rather than failures: Both white-box and black-box testing aim to identify defects, but white-box testing does this through code coverage and examining the code paths directly. It does not focus exclusively on defects rather than failures; it is just another method to identify potential issues​​.

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

Test exit criteria are the conditions that must be fulfilled before concluding a particular testing phase. These criteria act as a checkpoint to assess whether we have achieved the testing objectives and are done with testing1. Test exit criteria are typically defined in the test plan document, which is one of the outputs of the test planning phase. The test plan document describes the scope, approach, resources, and schedule of the testing activities. It also identifies the test items, the features to be tested, the testing tasks, the risks, and the test deliverables2. According to the ISTQB® Certified Tester Foundation Level Syllabus v4.0, the test plan document should include the following information related to the test exit criteria3:

The criteria for evaluating test completion, such as the percentage of test cases executed, the percentage of test coverage achieved, the number and severity of defects found and fixed, the quality and reliability of the software product, and the stakeholder satisfaction.

The criteria for evaluating test process improvement, such as the adherence to the test strategy, the efficiency and effectiveness of the testing activities, the lessons learned and best practices identified, and the recommendations for future improvements.

Therefore, the test plan document is the most appropriate test document to find the test exit criteria described. The other options, such as test design specification, project plan, and requirements specification, are not directly related to the test exit criteria. The test design specification describes the test cases and test procedures for a specific test level or test type3. The project plan describes the overall objectives, scope, assumptions, risks, and deliverables of the software project4. The requirements specification describes the functional and non-functional requirements of the software product5. None of these documents specify the conditions for ending the testing process or evaluating the testing outcomes. References = ISTQB® Certified Tester Foundation Level Syllabus v4.0, Entry and Exit Criteria in Software Testing | Baeldung on Computer Science, Entry And Exit Criteria In Software Testing - Rishabh Software, Entry and Exit Criteria in Software Testing Life Cycle - STLC [2022 Updated] - Testsigma Blog, ISTQB® releases Certified Tester Foundation Level v4.0 (CTFL).

The document that describes the test procedures, including the order in which test cases are to be executed according to dependencies described by preconditions and postconditions, is typically produced during the test implementation phase. During this phase, detailed test procedures and scripts are developed, organized, and prioritized for execution. The main goal of test implementation is to ensure that all test cases are prepared and structured in a way that supports efficient and effective test execution.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 5.1.6, page 49: Test Implementation

Test exit criteria are the conditions that must be fulfilled before concluding a particular testing phase. These criteria act as a checkpoint to assess whether we have achieved the testing objectives and are done with testing1. Test exit criteria are typically defined in the test plan document, which is one of the outputs of the test planning phase. The test plan document describes the scope, approach, resources, and schedule of the testing activities. It also identifies the test items, the features to be tested, the testing tasks, the risks, and the test deliverables2. According to the ISTQB® Certified Tester Foundation Level Syllabus v4.0, the test plan document should include the following information related to the test exit criteria3:

The criteria for evaluating test completion, such as the percentage of test cases executed, the percentage of test coverage achieved, the number and severity of defects found and fixed, the quality and reliability of the software product, and the stakeholder satisfaction.

The criteria for evaluating test process improvement, such as the adherence to the test strategy, the efficiency and effectiveness of the testing activities, the lessons learned and best practices identified, and the recommendations for future improvements.

Therefore, the test plan document is the most appropriate test document to find the test exit criteria described. The other options, such as test design specification, project plan, and requirements specification, are not directly related to the test exit criteria. The test design specification describes the test cases and test procedures for a specific test level or test type3. The project plan describes the overall objectives, scope, assumptions, risks, and deliverables of the software project4. The requirements specification describes the functional and non-functional requirements of the software product5. None of these documents specify the conditions for ending the testing process or evaluating the testing outcomes. References = ISTQB® Certified Tester Foundation Level Syllabus v4.0, Entry and Exit Criteria in Software Testing | Baeldung on Computer Science, Entry And Exit Criteria In Software Testing - Rishabh Software, Entry and Exit Criteria in Software Testing Life Cycle - STLC [2022 Updated] - Testsigma Blog, ISTQB® releases Certified Tester Foundation Level v4.0 (CTFL).

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.

The document that describes the test procedures, including the order in which test cases are to be executed according to dependencies described by preconditions and postconditions, is typically produced during the test implementation phase. During this phase, detailed test procedures and scripts are developed, organized, and prioritized for execution. The main goal of test implementation is to ensure that all test cases are prepared and structured in a way that supports efficient and effective test execution.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 5.1.6, page 49: Test Implementation

Static testing involves reviewing the code, requirements, and design documents without executing the code. It is effective in finding certain types of bugs that do not require the code to be run. One common example of such a bug is variables that are declared but not initialized. These issues can be detected through code inspections or static analysis tools, which can identify uninitialized variables, missing declarations, and other coding standard violations without the need to execute the code​​.

Structural testing is a type of testing that measures its effectiveness by tracking which lines of code were executed by the tests. Structural testing, also known as white-box testing or glass-box testing, is based on the internal structure, design, or implementation of the software. Structural testing aims to verify that the software meets the specified quality attributes, such as performance, security, reliability, or maintainability, by exercising the code paths, branches, statements, conditions, or data flows. Structural testing uses various coverage metrics, such as function coverage, line coverage, branch coverage, or statement coverage, to determine how much of the code has been tested and to identify any untested or unreachable parts of the code. Structural testing can be applied at any level of testing, such as unit testing, integration testing, system testing, or acceptance testing, but it is more commonly used at lower levels, where the testers have access to the source code.

The other options are not correct because they are not types of testing that measure their effectiveness by tracking which lines of code were executed by the tests. Acceptance testing is a type of testing that verifies that the software meets the acceptance criteria and the user requirements. Acceptance testing is usually performed by the end-users or customers, who may not have access to the source code or the technical details of the software. Acceptance testing is more concerned with the functionality, usability, or suitability of the software, rather than its internal structure or implementation. Integration testing is a type of testing that verifies that the software components or subsystems work together as expected. Integration testing is usually performed by the developers or testers, who may use both structural and functional testing techniques to check the interfaces, interactions, or dependencies between the components or subsystems. Integration testing is more concerned with the integration logic, data flow, or communication of the software, rather than its individual lines of code. Exploratory testing is a type of testing that involves simultaneous learning, test design, and test execution. Exploratory testing is usually performed by the testers, who use their creativity, intuition, or experience to explore the software and discover any defects, risks, or opportunities for improvement. Exploratory testing is more concerned with the behavior, quality, or value of the software, rather than its internal structure or implementation. References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 4: Test Techniques, Section 4.3: Structural Testing Techniques, Pages 51-54; Chapter 1: Fundamentals of Testing, Section 1.4: Testing Throughout the Software Development Lifecycle, Pages 11-13; Chapter 3: Static Testing, Section 3.4: Exploratory Testing, Pages 40-41.

The whole team approach in testing means that the responsibility for testing is shared among all members of the team, not just the testers. This concept is emphasized in agile methodologies where collaboration and collective ownership of quality are key principles. Each team member, including developers, business analysts, and testers, contributes to the testing process, ensuring that quality is built into the product from the beginning.

References:

ISTQB CTFL Syllabus V4.0, Section 1.5.2 on the "whole team approach" which describes the collective responsibility of the team for testing​​.

Branch coverage is a type of structural coverage metric that measures the percentage of branches or decision outcomes that are executed by the test cases. A branch is a point in the code where the control flow can take two or more alternative paths based on a condition. For example, an if-else statement is a branch that can execute either the if-block or the else-block depending on the evaluation of the condition. Branch coverage ensures that each branch is taken at least once by the test cases, and thus reveals the behavior of the software under different scenarios. Branch coverage is also known as decision coverage or all-edges coverage.

Branch coverage is suitable for testing the cases where a specific action is not allowed, because it can verify that the test cases cover all the possible outcomes of the conditions that determine the action. For example, if the program has a condition that checks if the manufacturing stage can be stopped, then branch coverage can ensure that the test cases cover both the cases where the stage can be stopped and where it cannot be stopped. This way, branch coverage can help identify any missing or incorrect branches that may lead to undesired or unsafe actions.

The other options are not correct because they are not suitable for testing the cases where a specific action is not allowed. Code coverage is a general term that encompasses various types of coverage metrics, such as statement coverage, branch coverage, data flow coverage, etc. Code coverage does not specify which type of coverage metric is used for the analysis. Data flow coverage is a type of structural coverage metric that measures the percentage of data flow paths that are executed by the test cases. A data flow path is a sequence of statements that define, use, or kill a variable. Data flow coverage is useful for testing the correctness and completeness of the data manipulation in the software, but not for testing the conditions that determine the actions. Statement coverage is a type of structural coverage metric that measures the percentage of statements or lines of code that are executed by the test cases. Statement coverage ensures that each statement is executed at least once by the test cases, but it does not reveal the behavior of the software under different scenarios. Statement coverage is a weaker criterion than branch coverage, because it does not account for the branches or decision outcomes in the code. References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 syllabus, Chapter 4: Test Techniques, Section 4.3: Structural Testing Techniques, Pages 51-54.

The testing quadrants, as defined in the context of agile testing, help categorize different types of tests based on their goals and who they serve.

Q1: Technology-facing tests that support the team (e.g., unit tests).

Q2: Business-facing tests that support the team (e.g., automated acceptance tests, BDD, ATDD).

Q3: Business-facing tests that critique the product (e.g., exploratory testing).

Q4: Technology-facing tests that critique the product (e.g., performance and load tests).

Option B correctly places automated acceptance tests from BDD and ATDD in quadrant Q2.

Acceptance criteria for user stories are crucial in defining the specific requirements that a piece of software must meet to be accepted by the user or stakeholder. These criteria often include data definitions such as format, allowed values, and default values, ensuring that the software behaves correctly with the expected data inputs.

Option A is incorrect because user acceptance tests are not usually automated; they are often conducted manually by end-users. Option C is incorrect because acceptance criteria should cover both positive and negative scenarios to ensure comprehensive testing. Option D is incorrect because tests derived from acceptance criteria can indeed be included in the testing quadrants, particularly in the quadrant related to business-facing tests that critique the product.