iSQI CTFL_Syll_4.0 ISTQB Certified Tester Foundation Level (CTFL) v4.0 Exam Practice Test

The ISTQB fundamental test process consists of five main phases, as described in the ISTQB Foundation Level Syllabus, Version 4.0, 2018, Section 2.2, page 15:

Test planning and control: This phase involves defining the test objectives, scope, strategy, resources, schedule, risks, and metrics, as well as monitoring and controlling the test activities and results throughout the test process.

Test analysis and design: This phase involves analyzing the test basis (such as requirements, specifications, or user stories) to identify test conditions (such as features, functions, or scenarios) that need to be tested, and designing test cases and test procedures (such as inputs, expected outcomes, and execution steps) to cover the test conditions. This phase also involves evaluating the testability of the test basis and the test items (such as software or system components), and selecting and implementing test techniques (such as equivalence partitioning, boundary value analysis, or state transition testing) to achieve the test objectives and optimize the test coverage and efficiency.

Test implementation and execution: This phase involves preparing the test environment (such as hardware, software, data, or tools) and testware (such as test cases, test procedures, test data, or test scripts) for test execution, and executing the test procedures or scripts according to the test plan and schedule. This phase also involves logging the outcome of test execution, comparing the actual results with the expected results, and reporting any discrepancies as incidents (such as defects, errors, or failures).

Evaluating exit criteria and reporting: This phase involves checking if the planned test activities have been completed and the exit criteria (such as quality, coverage, or risk levels) have been met, and reporting the test results and outcomes to the stakeholders. This phase also involves making recommendations for the release or acceptance decision based on the test results and outcomes, and identifying any residual risks (such as known defects or untested areas) that need to be addressed or mitigated.

Test closure activities: This phase involves finalizing and archiving the testware and test environment for future reuse, and evaluating the test process and the test project against the test objectives and the test plan. This phase also involves identifying any lessons learned and best practices, and communicating the findings and suggestions for improvement to the relevant parties.

References = ISTQB Certified Tester Foundation Level Syllabus, Version 4.0, 2018, Section 2.2, page 15; ISTQB Glossary of Testing Terms, Version 4.0, 2018, pages 37-38; ISTQB CTFL 4.0 - Sample Exam - Answers, Version 1.1, 2023, Question 88, page 32.

This answer is correct because a walkthrough is a type of review where the author of the work product leads the review process and explains the work product to the reviewers. The reviewers are not required to prepare for the review in advance, and the main objective of the walkthrough is to establish a common understanding of the work product and to identify any major defects or issues. A walkthrough is usually informal and does not follow a defined process or roles. In this case, the review for a high-level architectural document written by a software architect matches the characteristics of a walkthrough. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.4.2.2

Static analysis tools are software tools that examine the source code of a program without executing it. They can detect various types of issues, such as syntax errors, coding standards violations, security vulnerabilities, and potential bugs12. However, static analysis tools cannot identify issues that depend on the runtime behavior or performance of the program, such as very low MTBF (Mean Time Between failure)3. MTBF is a measure of the reliability of a system or component. It is calculated by dividing the total operating time by the number of failures. MTBF reflects how often a system or component fails during its expected lifetime. Static analysis tools cannot measure MTBF because they do not run the program or observe its failures. MTBF can only be estimated by dynamic testing, which involves executing the program under various conditions and collecting data on its failures4. Therefore, very low MTBF is an issue that cannot be identified by static analysis tools. The other options, such as potentially endless loops, referencing a variable with an undefined value, and security vulnerabilities, are issues that can be identified by static analysis tools. Static analysis tools can detect potentially endless loops by analyzing the control flow and data flow of the program and checking for conditions that may never become false5. Static analysis tools can detect referencing a variable with an undefined value by checking the scope and initialization of variables and reporting any use of uninitialized variables6. Static analysis tools can detect security vulnerabilities by checking for common patterns of insecure code, such as buffer overflows, SQL injections, cross-site scripting, and weak encryption. References = What Is Static Analysis? Static Code Analysis Tools - Perforce Software, How Static Code Analysis Works | Perforce, Static Code Analysis: Techniques, Top 5 Benefits & 3 Challenges, What is MTBF? Mean Time Between Failures Explained | Perforce, Static analysis tools - Software Testing MCQs - CareerRide, ISTQB_Chapter3 | Quizizz, [Static Code Analysis for Security Vulnerabilities | Perforce].

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.

A static analysis tool is best suited for determining source code compliance with the guidelines provided by a coding standard. Static analysis tools analyze code without executing it, checking for adherence to coding standards, potential errors, and code quality issues. They are designed to detect deviations from predefined coding standards and ensure that the code conforms to best practices and guidelines.

References:

ISTQB CTFL Syllabus V4.0, Section 3.2.3 on Static Analysis and its applications

The syllabus explains that static analysis tools are used to enforce coding standards and improve code quality by detecting issues early in the development process​​.

CTFL NEW

This answer is correct because a typical objective of testing is to ensure that a software has been tested using a combination of test techniques, such as black-box, white-box, or experience-based techniques, that are appropriate for the test objectives, test levels, and test types. Testing using a combination of test techniques can increase the effectiveness and efficiency of testing, as different techniques can target different aspects of the software quality, such as functionality, usability, performance, security, reliability, etc. Testing using a combination of test techniques can also reduce the risk of missing defects that could be detected by one technique but not by another. References: ISTQB Foundation Level Syllabus v4.0, Section 2.3.1.1, Section 2.3.2

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

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

According to the decision table in the image, a Preferred Guest Card holder with a Silver room is eligible for an upgrade to Gold Luxury (YES), while a non-Preferred Guest Card holder, regardless of room type, is not eligible for any upgrade (NO). Therefore, Customer A (a Preferred Guest Card holder with a Silver room) would be offered an upgrade to Gold Luxury, and Customer B (a non-Preferred Guest Card holder with a Platinum room) would not be offered any upgrade. References = The answer is derived directly from the decision table provided in the image; specific ISTQB Certified Tester Foundation Level (CTFL) v4.0 documents are not referenced.

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.

According to the ISTQB Glossary of Testing Terms, Version 4.0, 2018, page 18, a failure is “an event in which a component or system does not perform a required function within specified limits”. In this case, the calculator software does not perform the required function of calculating the correct result for 5+6 within the specified limits of accuracy and precision. Therefore, this is an example of a failure.

The other options are incorrect because:

A mistake is “a human action that produces an incorrect result” (page 25). A mistake is not an event, but an action, and it may or may not lead to a failure. For example, a mistake could be a typo in the code, a wrong assumption in the design, or a misunderstanding of the requirement.

A fault is “a defect in a component or system that can cause the component or system to fail to perform its required function” (page 16). A fault is not an event, but a defect, and it may or may not cause a failure. For example, a fault could be a logical error in the code, a missing specification in the design, or a contradiction in the requirement.

An error is “the difference between a computed, observed, or measured value or condition and the true, specified, or theoretically correct value or condition” (page 15). An error is not an event, but a difference, and it may or may not result in a failure. For example, an error could be a rounding error in the calculation, a measurement error in the observation, or a deviation error in the condition.

References = ISTQB Glossary of Testing Terms, Version 4.0, 2018, pages 15-18, 25; ISTQB CTFL 4.0 - Sample Exam - Answers, Version 1.1, 2023, Question 96, page 34.

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

The best example of a test case for this user story should cover the acceptance criteria comprehensively. Option A addresses the critical aspects of the acceptance criteria:

Verifying the discount for the first timeslot (8 AM GMT) - ensuring it provides a 10% discount.

Verifying that changing the time slot removes the discount - ensuring the discount logic is correctly applied.

This test case effectively validates the functionality related to both the discount and the ability to change time slots, which are key parts of the user story's requirements​​.

A product risk is a risk that affects the quality or timeliness of the software product being developed or tested1. Product risks are related to the requirements, design, implementation, verification, and maintenance of the software product2.

The risk of the sub-contractor failing to meet his commitment is a product risk, as it could cause a delay in the completion of the testing required for the current cycle, which in turn could affect the release date of the product. The release date is an important aspect of the product quality, as it reflects the customer satisfaction and the market competitiveness of the product3.

The other options are not correct because:

A. It is not true that any risk associated with development timeline is a product risk. Some risks could be project risks, which are risks that affect the management or control of the software project, such as budget, resources, schedule, or communication1. For example, a risk of losing a key project stakeholder is a project risk, not a product risk.

B. It is not true that the risk is no longer a risk for the Test Manager since an independent party is managing it. The Test Manager is still responsible for ensuring that the testing activities are completed according to the test plan and the quality objectives4. The Test Manager should monitor and control the sub-contractor’s performance and communicate with him regularly to identify and mitigate any potential issues or deviations5.

C. It is not clear what is meant by “object” in this option, but it could be interpreted as the software system under test or the test object6. In any case, the risk is not an object risk, as it does not affect the successful completion of the object, but rather the successful completion of the testing of the object. An object risk could be a risk that affects the functionality, reliability, usability, efficiency, maintainability, or portability of the software system under test2. For example, a risk of the software system having a high complexity or a low testability is an object risk, not a product risk.

References =

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

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

3 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 99

4 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 100

5 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 101

6 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 102

In a typical formal review process, the role usually responsible for documenting the findings, such as action items, decisions, and recommendations, made by the review team is the recorder. The recorder ensures that all discussions and conclusions are accurately captured and documented for future reference and follow-up.

According to the description provided, when both systems A and B come back up at the same time, the process should involve a decision about which system should become active. However, the description states that if both systems come up simultaneously, one should become active based on a specific condition or precedence. Generally, in disaster recovery systems, there are protocols to avoid both systems becoming active simultaneously to prevent conflicts. Therefore, the transition where both A and B come back up at the same time and A becomes active while B becomes inactive without any conflict or decision-making step is incorrect​​.

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 branch testing, a conditional branch represents a decision point in the software program where the flow of execution can take different paths based on specific conditions. For example, this could be an "if-else" statement, a "switch-case" statement, or loops where different execution paths are taken depending on the evaluated condition. This type of testing ensures that all possible paths and conditions are executed at least once, which helps in identifying any potential defects in different branches of the code​​.

The statement "Achieving full code coverage for a component or a system ensures that it has been fully tested" is false because achieving full code coverage does not necessarily mean that all possible defects have been identified or that the system is free of bugs. Code coverage metrics, such as statement coverage, branch coverage, or path coverage, only measure the extent to which the source code has been executed during testing, but they do not guarantee that all logical paths or use cases have been exercised or that the code behaves correctly under all conditions.

Full code coverage indicates that every line of code has been executed at least once, but it does not account for the quality of the test cases or their ability to detect defects. There can still be issues related to performance, usability, security, and other non-functional aspects that are not addressed by code coverage alone.

References:

The official ISTQB® CTFL syllabus outlines the limitations of code coverage and emphasizes that while it is an important metric, it does not guarantee the absence of defects or that the software is fully tested​​.

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​​.

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

 The V-model is a software development life cycle model that defines four test levels that correspond to four development phases: component (unit) testing with component design, integration testing with architectural design, system testing with system requirements, and acceptance testing with user requirements. The V-model emphasizes the importance of verifying and validating each phase of development with a corresponding level of testing, and ensuring that the test objectives, test basis, and test artifacts are aligned and consistent across the test levels. Therefore, an organization that wants to follow the V-model cannot do away with integration testing, as it would break the symmetry and completeness of the V-model, and compromise the quality and reliability of the software or system under test. Integration testing is a test level that aims to test the interactions and interfaces between components or subsystems, and to detect any defects or inconsistencies that may arise from the integration of different parts of the software or system. Integration testing is essential for ensuring the functionality, performance, and compatibility of the software or system as a whole, and for identifying and resolving any integration issues early in the development process. Skipping integration testing would increase the risk of finding serious defects later in the test process, or worse, in the production environment, which would be more costly and difficult to fix, and could damage the reputation and credibility of the organization. Therefore, the correct answer is D.

The other options are incorrect because:

A. It is not allowed as organizations can decide on the test levels to do depending on the context of the system under test. While it is true that the choice and scope of test levels may vary depending on the context of the system under test, such as the size, complexity, criticality, and risk level of the system, the organization cannot simply ignore or skip a test level that is defined and required by the chosen software development life cycle model. The organization must follow the principles and guidelines of the software development life cycle model, and ensure that the test levels are consistent and coherent with the development phases. If the organization wants to have more flexibility and adaptability in choosing the test levels, it should consider using a different software development life cycle model, such as an agile or iterative model, that allows for more dynamic and incremental testing approaches.

B. It is not allowed because integration testing is not an important test level and can be dispensed with. This statement is false and misleading, as integration testing is a very important test level that cannot be dispensed with. Integration testing is vital for testing the interactions and interfaces between components or subsystems, and for ensuring the functionality, performance, and compatibility of the software or system as a whole. Integration testing can reveal defects or inconsistencies that may not be detected by component (unit) testing alone, such as interface errors, data flow errors, integration logic errors, or performance degradation. Integration testing can also help to verify and validate the architectural design and the integration strategy of the software or system, and to ensure that the software or system meets the specified and expected quality attributes, such as reliability, usability, security, and maintainability. Integration testing can also provide feedback and confidence to the developers and stakeholders about the progress and quality of the software or system development. Therefore, integration testing is a crucial and indispensable test level that should not be skipped or omitted.

C. It is not allowed because integration testing is a very important test level and ignoring it means definite poor product quality. This statement is partially true, as integration testing is a very important test level that should not be ignored, and skipping it could result in poor product quality. However, this statement is too strong and absolute, as it implies that integration testing is the only factor that determines the product quality, and that ignoring it would guarantee a poor product quality. This is not necessarily the case, as there may be other factors that affect the product quality, such as the quality of the requirements, design, code, and other test levels, the effectiveness and efficiency of the test techniques and tools, the competence and experience of the developers and testers, the availability and adequacy of the resources and environment, the management and communication of the project, and the expectations and satisfaction of the customers and users. Therefore, while integration testing is a very important test level that should not be skipped, it is not the only test level that matters, and skipping it does not necessarily mean definite poor product quality, but rather a higher risk and likelihood of poor product quality.

References = ISTQB Certified Tester Foundation Level Syllabus, Version 4.0, 2018, Section 2.3, pages 16-18; ISTQB Glossary of Testing Terms, Version 4.0, 2018, pages 38-39; ISTQB CTFL 4.0 - Sample Exam - Answers, Version 1.1, 2023, Question 104, page 36.

Risk register is a test planning work product as it documents identified risks and their mitigation strategies.

Risk information falls under test monitoring and control work products as it involves ongoing evaluation and reporting of risks.

Test cases are part of test design work products as they are derived from test conditions and designed to execute the testing scenarios.

Test conditions belong to test analysis work products as they define the items or events of a system that are to be tested​​.

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.

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​​.

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.

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.

Static analysis is the process of examining the work products of a software development or testing activity without executing them. Static analysis can be applied to various types of work products, such as requirements, design, code, test cases, etc. However, test plans are not suitable for static analysis, because they are high-level documents that describe the test objectives, scope, strategy, resources, schedule, and risks of a testing project. Test plans are not executable or formalized in a way that static analysis tools can analyze them. Therefore, option A is the correct answer.

References: ISTQB® Certified Tester Foundation Level Syllabus v4.01, Section 2.2.1, page 20; ISTQB® Glossary v4.02, page 45.

The acceptance criteria associated with a user story are the conditions that must be met for the user story to be considered done and to deliver the expected value to the user. They are often written in different formats, such as rule-oriented, scenario-oriented, or table-oriented, depending on the nature and complexity of the user story. They represent an aspect of a user story referred to as confirmation, which is one of the so called “3 C’s” of user stories. The other two aspects are card and conversation. Card refers to the concise and informal description of the user story, usually following the template: “As a [role], I want [feature], so that I can [benefit]”. Conversation refers to the ongoing dialogue between the stakeholders and the team members to clarify and refine the user story and its acceptance criteria. Therefore, option C is the correct answer.

References: ISTQB® Certified Tester Foundation Level Syllabus v4.01, Section 3.2.2, page 35-36; ISTQB® Glossary v4.02, page 37.

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​​.

 The V-model is a software development life cycle model that defines four test levels that correspond to four development phases: component (unit) testing with component design, integration testing with architectural design, system testing with system requirements, and acceptance testing with user requirements. The V-model emphasizes the importance of verifying and validating each phase of development with a corresponding level of testing, and ensuring that the test objectives, test basis, and test artifacts are aligned and consistent across the test levels. Therefore, an organization that wants to follow the V-model cannot do away with integration testing, as it would break the symmetry and completeness of the V-model, and compromise the quality and reliability of the software or system under test. Integration testing is a test level that aims to test the interactions and interfaces between components or subsystems, and to detect any defects or inconsistencies that may arise from the integration of different parts of the software or system. Integration testing is essential for ensuring the functionality, performance, and compatibility of the software or system as a whole, and for identifying and resolving any integration issues early in the development process. Skipping integration testing would increase the risk of finding serious defects later in the test process, or worse, in the production environment, which would be more costly and difficult to fix, and could damage the reputation and credibility of the organization. Therefore, the correct answer is D.

The other options are incorrect because:

A. It is not allowed as organizations can decide on the test levels to do depending on the context of the system under test. While it is true that the choice and scope of test levels may vary depending on the context of the system under test, such as the size, complexity, criticality, and risk level of the system, the organization cannot simply ignore or skip a test level that is defined and required by the chosen software development life cycle model. The organization must follow the principles and guidelines of the software development life cycle model, and ensure that the test levels are consistent and coherent with the development phases. If the organization wants to have more flexibility and adaptability in choosing the test levels, it should consider using a different software development life cycle model, such as an agile or iterative model, that allows for more dynamic and incremental testing approaches.

B. It is not allowed because integration testing is not an important test level and can be dispensed with. This statement is false and misleading, as integration testing is a very important test level that cannot be dispensed with. Integration testing is vital for testing the interactions and interfaces between components or subsystems, and for ensuring the functionality, performance, and compatibility of the software or system as a whole. Integration testing can reveal defects or inconsistencies that may not be detected by component (unit) testing alone, such as interface errors, data flow errors, integration logic errors, or performance degradation. Integration testing can also help to verify and validate the architectural design and the integration strategy of the software or system, and to ensure that the software or system meets the specified and expected quality attributes, such as reliability, usability, security, and maintainability. Integration testing can also provide feedback and confidence to the developers and stakeholders about the progress and quality of the software or system development. Therefore, integration testing is a crucial and indispensable test level that should not be skipped or omitted.

C. It is not allowed because integration testing is a very important test level and ignoring it means definite poor product quality. This statement is partially true, as integration testing is a very important test level that should not be ignored, and skipping it could result in poor product quality. However, this statement is too strong and absolute, as it implies that integration testing is the only factor that determines the product quality, and that ignoring it would guarantee a poor product quality. This is not necessarily the case, as there may be other factors that affect the product quality, such as the quality of the requirements, design, code, and other test levels, the effectiveness and efficiency of the test techniques and tools, the competence and experience of the developers and testers, the availability and adequacy of the resources and environment, the management and communication of the project, and the expectations and satisfaction of the customers and users. Therefore, while integration testing is a very important test level that should not be skipped, it is not the only test level that matters, and skipping it does not necessarily mean definite poor product quality, but rather a higher risk and likelihood of poor product quality.

References = ISTQB Certified Tester Foundation Level Syllabus, Version 4.0, 2018, Section 2.3, pages 16-18; ISTQB Glossary of Testing Terms, Version 4.0, 2018, pages 38-39; ISTQB CTFL 4.0 - Sample Exam - Answers, Version 1.1, 2023, Question 104, page 36.

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​​.

Cost can be regarded as an exit criterion for testing, because it is a factor that affects the profitability and feasibility of the software product. Testing is an investment that aims to improve the quality and reliability of the software product, but it also consumes resources, such as time, money, and human effort. Therefore, testing should be planned and executed in a way that balances the cost and benefit of testing activities. Having cost as an exit criterion helps to avoid spending too much money on testing, which may result in an unprofitable product or a loss of competitive advantage. Cost can also help to prioritize and focus the testing efforts on the most critical and valuable features and functions of the software product. However, cost should not be the only exit criterion for testing, as it may not reflect the true quality and risk level of the software product. Other exit criteria, such as defect rate, test coverage, user satisfaction, etc., should also be considered and defined in the test plan.

The other options are incorrect, because they either deny the importance of cost as an exit criterion, or they make false or unrealistic assumptions about the cost of testing. Option B is incorrect, because the financial value of product quality can be estimated, for example, by using cost-benefit analysis, return on investment, or cost of quality models. Option C is incorrect, because going by cost as an exit criterion does not necessarily constrain the testing project or help achieve the desired quality level. Cost is a relative and variable factor that depends on the scope, complexity, and context of the software product and the testing project. Option D is incorrect, because the cost of testing can be measured effectively, for example, by using metrics, such as test effort, test resources, test tools, test environment, etc.

In the context of software testing roles, tasks typically performed by someone in a testing role include evaluating the test basis and test object, creating test completion reports, and assessing the testability of the test object. These tasks are directly related to ensuring the quality and effectiveness of the software testing process.

Evaluate test basis and test object: This involves reviewing and analyzing the documents and artifacts that are used as the basis for testing. This is a fundamental task for testers to understand what needs to be tested and to ensure that the test objects are adequately covered by the test cases​​.

Create test completion report: This is part of the test closure activities. Testers are responsible for summarizing the testing activities, outcomes, and lessons learned, which are compiled into a test completion report. This report is crucial for stakeholders to understand the test results and make informed decisions​​.

Assess testability of test object: This task involves evaluating how easily a test object (such as a piece of software) can be tested. This includes considering aspects such as the availability of test data, the ability to isolate the object for testing, and the clarity of the requirements. Testers often perform this assessment to identify potential challenges and mitigate them before testing begins​​.

On the other hand:

Define test environment requirements: While testers may provide input on the test environment, the primary responsibility for defining and setting up the test environment usually falls to roles such as system administrators or infrastructure specialists. They ensure that the necessary hardware, software, and network configurations are in place for testing to proceed. This task is less likely to be the sole responsibility of a tester​​.

This answer is correct because product risks are risks that affect the quality of the software product, such as defects, failures, or non-compliance with requirements or standards. Project risks are risks that affect the project’s schedule, budget, resources, or scope, such as delays, cost overruns, skill gaps, or scope changes. In this case, [I] and [IV] are product risks, as they relate to the accessibility and security of the software product, which are quality attributes. [II] and [III] are project risks, as they relate to the delivery time and the test automation skills of the test team, which are project factors. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.1.1.1

The absence-of-errors fallacy is one of the seven testing principles mentioned in the ISTQB syllabus. This principle states that even if no defects are found in the software, it does not guarantee that the software is usable and meets the user needs and expectations. By involving users early in the development process through practices like prototyping, the team can gather feedback to ensure that the software aligns with user expectations, thereby addressing the risk of this fallacy.

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​​.

A test-first approach involves writing tests before writing the code. In this approach, initially, the tests fail because the corresponding functionality is not yet implemented. Afterward, the code is written or modified to make the tests pass. This cycle is repeated iteratively. This method ensures that the code is developed based on predefined tests and helps in identifying issues early in the development process​​.

The business-facing quadrant that supports the team is focused on tests that validate the system against user stories. These tests ensure that the system delivers the value and functionality described by the user stories, which are central to agile methodologies.

References:

ISTQB CTFL Syllabus V4.0, Section 5.1.7 on the testing quadrants, particularly the business-facing tests that support the team and are based on user stories​​.

Both black-box test techniques and experience-based test techniques can be applied to functional and non-functional testing. Functional testing focuses on what the system does, while non-functional testing examines how the system performs. These techniques provide flexible and effective methods for assessing various aspects of the system.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 4.4, page 42: Experience-Based Testing Techniques​

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

White-box testing involves testing the internal structures or workings of an application, as opposed to the functionality exposed to the end user. Experience-based testing, such as exploratory testing, involves testers using their knowledge, experience, and intuition to test the system without predefined test cases, often focusing on the input-output behavior of the system.

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 in Agile software development, work product documentation, such as user stories, acceptance criteria, or test cases, tends to be lightweight and concise, as the focus is on working software and frequent communication rather than comprehensive documentation. Manual tests tend to be often unscripted, as they are often produced using experience-based test techniques, such as error guessing or exploratory testing, which rely on the tester’s skills, knowledge, and creativity to find defects and provide feedback. References: ISTQB Foundation Level Syllabus v4.0, Section 3.1.1.2, Section 3.2.1.2

In the V-model project described in the question, the tester can identify the following based on the provided information:

Expected result (II): The requirements specification clearly states that the app should only ask for access permissions to the camera and photos stored on the device during and after installation. This expected behavior is defined by the requirements.

Actual result (III): The tester observes that the app also requests access to all contacts on the device, which deviates from the expected result. This actual observation can be recorded accurately.

Given these details, the tester can specify the expected result (II) and the actual result (III) in the defect report. However, without more information, the tester cannot determine the test environment (I), the test level (IV), or the root cause (V).

References:

ISTQB CTFL Syllabus V4.0, Section 5.5 on Defect Reporting

Typical contents of a defect report as mentioned in the syllabus include the expected result and the actual result observed during testing​​.