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

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.

In the given decision table, Column 7 represents the following conditions and actions:

The patient is over 18 years old: True

The patient is allergic to Penicillin: True

The patient is taking anticoagulant therapy: True

When analyzing this column:

If the patient is over 18 years old, allergic to Penicillin, and taking anticoagulant therapy, the decision table suggests consultation with a hematologist and prescribing half of the full recommended dosage for 10 days.

This column does not represent an impossible situation based on the conditions provided. However, upon deeper inspection and understanding of medical practices, it can be argued that such a specific combination of conditions could be highly unlikely, making it appear unnecessary or an edge case that might be considered for deletion.

Given the constraints of the conditions and the requirements of the decision table, the provided answer needs to be verified against real-world medical guidelines to confirm if this scenario is indeed impossible or just

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​​.

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.

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.

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

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

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

Traceability is an essential aspect of software testing that ensures each test case can be traced back to its corresponding test basis items, such as requirements, design documents, or user stories. This linkage helps in determining which test basis items have been covered by executed test cases, identifying the impact of changes, and maintaining overall test documentation. However, the statement that traceability enables experience-based test techniques to be applied is false, as experience-based test techniques, such as exploratory testing, rely on the tester's skills and experience rather than documented traceability.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 1.4.4, page 19: Importance of Traceability

One of the generic skills required for the role of a tester is the ability to use tools to make the execution of repetitive testing tasks more efficient. This includes using various test automation tools to streamline the testing process, reduce manual effort, and improve the consistency and accuracy of test results. Testers should be proficient in leveraging these tools to enhance productivity and ensure comprehensive test coverage.

References:

ISTQB® CTFL Syllabus 4.0, Chapter 1.5.1, page 20: General Skills Required for Testing

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.

The test leader is the person who is responsible for planning, monitoring, and controlling the test activities and resources in a test project. The test leader should have the best knowledge of the test objectives, scope, risks, resources, schedule, and quality criteria. The test leader should also be aware of the test automation criteria, such as the execution frequency, the test support, the team education, the roles and responsibilities, and the devs and testers collaboration1. Based on these factors, the test leader can decide which tests are suitable for automation and which are not, and prioritize them accordingly. The test leader can also coordinate with the test automation engineers, the developers, and the stakeholders to ensure the alignment of the test automation strategy with the test project goals and expectations. References = ISTQB Certified Tester Foundation Level (CTFL) v4.0 Syllabus, Chapter 2, Section 2.3.1, Page 152; ISTQB Glossary of Testing Terms v4.0, Page 403; ISTQB Certified Tester Foundation Level (CTFL) v4.0 Syllabus, Chapter 6, Section 6.1.1, Page 514; Top 8 Test Automation Criteria You Need To Fulfill - QAMIND1

The problem described involves a software implementation error in a decision statement for calculating a bonus based on the Total Amount of Sales (TAS). The requirement states that if TAS is 300,000€ or more, a bonus should be paid. However, the software incorrectly implements this with "IF (TAS = 300000)" instead of "IF (TAS >= 300000)".

Applying Boundary Value Analysis (BVA) to this situation involves selecting test cases at the boundaries of the input domain, including just below, at, and just above the boundary conditions.

Test Case TC1 = 299999:

This value is just below the boundary (300,000).

Expected Result: No bonus should be paid.

Actual Result: No bonus paid.

TC1 does not highlight the fault because the implemented condition "IF (TAS = 300000)" and the correct condition "IF (TAS >= 300000)" both yield the same result (no bonus).

Test Case TC2 = 300000:

This value is exactly at the boundary.

Expected Result: Bonus should be paid.

Actual Result: Bonus paid.

TC2 does not highlight the fault because the implemented condition "IF (TAS = 300000)" and the correct condition "IF (TAS >= 300000)" both yield the same result (bonus paid).

Test Case TC3 = 300001:

This value is just above the boundary.

Expected Result: Bonus should be paid.

Actual Result: No bonus paid due to the incorrect implementation.

TC3 highlights the fault because the implemented condition "IF (TAS = 300000)" fails to pay the bonus, whereas the correct condition "IF (TAS >= 300000)" would pay the bonus.

BVA focuses on the edges of input ranges where errors are more likely.

The critical values are just below, at, and just above the boundary.

Boundary Value Analysis (BVA):Verification:According to the ISTQB CTFL syllabus, BVA is an essential technique for identifying potential errors at the boundaries of input ranges. This is because developers are more likely to make mistakes at these extremes​​.

Therefore, TC3 (300001) is the test case that would highlight the fault in the software's implementation of the decision condition.

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 an agile software development environment with distributed teams, effective communication is crucial. Given the distributed nature and the time zone differences, asynchronous communication methods such as emails are more practical and effective. They ensure that information can be shared and accessed by team members and stakeholders at their convenience, regardless of time zone differences. Regular email updates also provide a documented trail of communication, which can be reviewed and referred back to as needed. Formal face-to-face meetings can be challenging to coordinate across time zones and are not as flexible as email communications​​.

 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.

Exercising at least one of the decision outcomes for all decisions within the code, ensures achieving full branch coverage, which is a test coverage criterion that requires that all branches in the control flow of the code are executed at least once by the test cases. A branch is a basic block of code that has a single entry point and a single exit point, and a decision is a point in the code where the control flow can take more than one direction, such as an if-then-else statement, a switch-case statement, a loop statement, etc. The decision outcomes are the possible paths that can be taken from a decision, such as the then branch or the else branch, the case branch or the default branch, the loop body or the loop exit, etc. The other statements are false, because:

The minimum number of test cases needed to achieve full branch coverage, is usually higher than that needed to achieve full statement coverage, which is a test coverage criterion that requires that all executable statements in the code are executed at least once by the test cases. This is because branch coverage is a stronger criterion than statement coverage, as it implies statement coverage, but not vice versa. For example, a single test case can achieve full statement coverage for an if-then-else statement, but two test cases are needed to achieve full branch coverage, as both the then branch and the else branch need to be exercised.

If full branch coverage has been achieved, then all unconditional branches within the code have not necessarily been exercised, as unconditional branches are branches that do not depend on any decision, and are always executed, such as a goto statement, a break statement, a return statement, etc. Unconditional branches are not part of the branch coverage criterion, as they do not represent different paths in the control flow of the code. However, they are part of the statement coverage criterion, as they are executable statements in the code.

If full branch coverage has been achieved, then all combinations of conditions in a decision table have not necessarily been exercised, as a decision table is a test design technique that represents the logical relationships between multiple conditions and their corresponding actions, in a tabular format. A decision table can have more combinations of conditions than the number of decision outcomes in the code, as each condition can have two or more possible values, such as true or false, yes or no, etc. For example, a decision table with four conditions can have 16 combinations of conditions, but the corresponding code may have only two decision outcomes, such as pass or fail. To exercise all combinations of conditions in a decision table, a stronger test coverage criterion is needed, such as condition combination coverage, which requires that all possible combinations of condition outcomes in the code are executed at least once by the test cases. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.3.1, Test Coverage Criteria Based on the Structure of the Software

ISTQB® Glossary of Testing Terms v4.0, Branch Coverage, Statement Coverage, Branch, Decision, Decision Outcome, Unconditional Branch, Decision Table, Condition Combination Coverage

A test plan serves multiple purposes, such as defining the scope, approach, resources, and schedule of the testing activities. It also helps in communicating important information and managing stakeholder expectations. In agile projects, test plans might be concise to align with agile principles of simplicity and flexibility. A one-page test plan can effectively communicate broad activities and strategic decisions, such as not writing detailed test cases due to the project's agile nature. This approach ensures that essential information is conveyed without unnecessary documentation overhead, adhering to the agile manifesto's value of "working software over comprehensive documentation"​​.

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

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

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

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

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

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

Dynamic testing requires the execution of the software to evaluate its behavior and performance. In contrast, static testing involves examining the software's code, design, and documentation without executing the software. This makes static testing applicable to non-executable work products such as requirement documents, design documents, and source code.

The statement that refers to good testing practice to be applied regardless of the chosen software development model is option D, which says that involvement of testers in work product reviews should occur as early as possible to take advantage of the early testing principle. Work product reviews are static testing techniques, in which the work products of the software development process, such as the requirements, the design, the code, the test cases, etc., are examined by one or more reviewers, with or without the author, to identify defects, violations, or improvements. Involvement of testers in work product reviews can provide various benefits for the testing process, such as improving the test quality, the test efficiency, and the test communication. The early testing principle states that testing activities should start as early as possible in the software development lifecycle, and should be performed iteratively and continuously throughout the lifecycle. Applying the early testing principle can help to prevent, detect, and remove defects at an early stage, when they are easier, cheaper, and faster to fix, as well as to reduce the risk, the cost, and the time of the testing process. The other options are not good testing practices to be applied regardless of the chosen software development model, but rather specific testing practices that may or may not be applicable or beneficial for testing, depending on the context and the objectives of the testing activities, such as:

Tests should be written in executable format before the code is written and should act as executable specifications that drive coding: This is a specific testing practice that is associated with test-driven development, which is an approach to software development and testing, in which the developers write automated unit tests before writing the source code, and then refactor the code until the tests pass. Test-driven development can help to improve the quality, the design, and the maintainability of the code, as well as to provide fast feedback and guidance for the developers. However, test-driven development is not a good testing practice to be applied regardless of the chosen software development model, as it may not be feasible, suitable, or effective for testing in some contexts or situations, such as when the requirements are unclear, unstable, or complex, when the test automation tools or skills are not available or adequate, when the testing objectives or levels are not aligned with the unit testing, etc.

Test levels should be defined such that the exit criteria of one level are part of the entry criteria for the next level: This is a specific testing practice that is associated with sequential software development models, such as the waterfall model, the V-model, or the W-model, in which the software development and testing activities are performed in a linear and sequential order, with well-defined phases, deliverables, and dependencies. Test levels are the stages of testing that correspond to the levels of integration of the software system, such as component testing, integration testing, system testing, and acceptance testing. Test levels should have clear and measurable entry criteria and exit criteria, which are the conditions that must be met before starting or finishing a test level. In sequential software development models, the exit criteria of one test level are usually part of the entry criteria for the next test level, to ensure that the software system is ready and stable for the next level of testing. However, this is not a good testing practice to be applied regardless of the chosen software development model, as it may not be relevant, flexible, or efficient for testing in some contexts or situations, such as when the software development and testing activities are performed in an iterative and incremental order, with frequent changes, feedback, and adaptations, as in agile software development models, such as Scrum, Kanban, or XP, when the test levels are not clearly defined or distinguished, or when the test levels are performed in parallel or concurrently, etc.

Test objectives should be the same for all test levels, although the number of tests designed at various levels can vary significantly: This is a specific testing practice that is associated with uniform software development models, such as the spiral model, the incremental model, or the prototyping model, in which the software development and testing activities are performed in a cyclical and repetitive manner, with similar phases, deliverables, and processes. Test objectives are the goals or the purposes of testing, which can vary depending on the test level, the test type, the test technique, the test environment, the test stakeholder, etc. Test objectives can be defined in terms of the test basis, the test coverage, the test quality, the test risk, the test cost, the test time, etc. Test objectives should be specific, measurable, achievable, relevant, and time-bound, and they should be aligned with the project objectives and the quality characteristics. In uniform software development models, the test objectives may be the same for all test levels, as the testing process is repeated for each cycle or iteration, with similar focus, scope, and perspective of testing. However, this is not a good testing practice to be applied regardless of the chosen software development model, as it may not be appropriate, realistic, or effective for testing in some contexts or situations, such as when the software development and testing activities are performed in a hierarchical and modular manner, with different phases, deliverables, and dependencies, as in sequential software development models, such as the waterfall model, the V-model, or the W-model, when the test objectives vary according to the test levels, such as component testing, integration testing, system testing, and acceptance testing, or when the test objectives change according to the feedback, the learning, or the adaptation of the testing process, as in agile software development models, such as Scrum, Kanban, or XP, etc. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.1.1, Testing and the Software Development Lifecycle1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.1, Testing Principles1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.2, Testing Policies, Strategies, and Test Approaches1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.3.1, Testing in Software Development Lifecycles1

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

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.2, Test Monitoring and Control1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.3, Test Analysis and Design1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.4, Test Implementation1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.5, Test Execution1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 2.1.6, Test Closure1

ISTQB® Glossary of Testing Terms v4.0, Work Product Review, Static Testing, Early Testing, Test-driven Development, Test Level, Entry Criterion, Exit Criterion, Test Objective, Test Basis, Test Coverage, Test Quality, Test Risk, Test Cost, Test Time2

During the review planning phase of a formal review process, decisions are made regarding which standards and procedures will be followed. This planning ensures that the review process is structured, consistent, and aligned with organizational or project-specific guidelines, thereby enhancing the effectiveness and reliability of the review outcomes.

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 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.

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.

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​​.

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

The other options are correct because:

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

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

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

References =

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

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

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

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

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

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

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

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

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

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

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

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

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​​.

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

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​​.

Failures can be caused by defects, but also by environmental conditions. A failure is an event in which the software system does not perform a required function or performs a function incorrectly, according to the expected behavior. A defect is a flaw in the software system or a deviation from the requirements or the specifications, that may cause a failure. However, not all failures are caused by defects, as some failures may be caused by environmental conditions, such as hardware malfunctions, network interruptions, power outages, incompatible configurations, etc. Environmental conditions are factors that affect the operation of the software system, but are not part of the software system itself. The other statements are false, because:

A defect does not always produce a failure, while a bug always produces a failure. This statement is false, because a defect may or may not produce a failure, depending on the inputs, the outputs, the states, or the scenarios of the software system, and a bug is just another term for a defect, so it has the same possibility of producing a failure as a defect. For example, a defect in a rarely used feature or a hidden branch of the code may never produce a failure, while a defect in a frequently used feature or a critical path of the code may produce a failure often. A bug is not a different concept from a defect, but rather a synonym or a colloquial term for a defect, so it has the same definition and implications as a defect.

A defect may cause a failure which, when occurring, always causes an error. This statement is false, because an error is not a consequence of a failure, but rather a cause of a defect. An error is a human action or a mistake that produces a defect in the software system, such as a typo, a logic flaw, a requirement misunderstanding, etc. An error is not observable in the software system, but rather in the human mind or the human work products, such as the code, the design, the documentation, etc. A failure is not a cause of an error, but rather a result of a defect, which is a result of an error. For example, an error in the code may cause a defect in the software system, which may cause a failure in the software behavior.

Bugs are defects found during component testing, while failures are defects found at higher test levels. This statement is false, because bugs and failures are not different types of defects, but rather different terms for defects and their manifestations. As mentioned before, bugs are just another word for defects, and failures are the events in which the software system does not perform as expected due to defects. Bugs and failures can be found at any test level, not only at component testing or higher test levels. Test levels are the stages of testing that correspond to the levels of integration of the software system, such as component testing, integration testing, system testing, and acceptance testing. Defects and failures can occur and be detected at any test level, depending on the test objectives, the test basis, the test techniques, and the test environment. References: ISTQB Certified Tester Foundation Level (CTFL) v4.0 sources and documents:

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.1.2, Testing and Quality1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.2.1, Testing Principles1

ISTQB® Certified Tester Foundation Level Syllabus v4.0, Chapter 1.3.1, Testing in Software Development Lifecycles1

ISTQB® Glossary of Testing Terms v4.0, Failure, Defect, Bug, Environmental Condition, Error, Test Level2

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

X-axis represents Time

Y-axis represents Count

Line A represents Number of open bugs

Line B represents Total number of executed tests

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

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

In Agile estimation sessions, particularly during Planning Poker, the goal is to reach a consensus on the effort required for a user story. The process encourages discussion and collaboration among team members to understand the story's requirements and complexities fully. Here’s a breakdown of the options and why D is the correct choice:

Option A: Calculating the arithmetic mean of all estimates.

This method is straightforward but does not facilitate team discussion or consensus-building. It merely averages out the estimates without addressing the reasons behind the varying estimates. Thus, important insights and understanding of the task complexity might be missed.

Option B: Selecting the most frequent estimate value.

While this approach acknowledges the majority’s opinion, it ignores the minority views, which might highlight significant aspects of the story that need consideration. It doesn't ensure that all perspectives are considered and discussed.

Option C: Calculating the mean of the most optimistic and pessimistic estimates.

This approach considers the extremes but again lacks the team discussion and consensus aspect. It also assumes that the extreme values alone can balance out the estimate, which might not always capture the true complexity or simplicity of the task.

Option D: Discussing the most pessimistic and optimistic estimates.

This approach fosters team collaboration and understanding. Memb4 and Memb6 explain their reasoning for the highest and lowest estimates, respectively, which can reveal different perspectives on the task's complexity. This discussion helps the team align their understanding and often leads to a more accurate and agreed-upon estimate in subsequent rounds.

In conclusion, the main goal of Agile estimation techniques like Planning Poker is to encourage team communication and collaboration to ensure that all aspects of the user story are considered. Option D best aligns with this goal by promoting discussion and consensus.

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

During the review planning phase of a formal review process, decisions are made regarding which standards and procedures will be followed. This planning ensures that the review process is structured, consistent, and aligned with organizational or project-specific guidelines, thereby enhancing the effectiveness and reliability of the review outcomes.

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​​.

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 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.

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

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

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

Mistake: A human action that produces an incorrect result.

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

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

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

The other three statements are incorrect, namely:

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

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

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

References:

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

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

A test status report communicates the current status, progress, and issues encountered during testing to stakeholders. It is crucial for effective test management and decision-making.

Option A: Correct as it involves reporting impediments and solutions, which are essential for ongoing test activities.

Option B: Incorrect because test status reports are not limited to test completion activities and focus more on ongoing test status rather than final unmitigated risks.

Option C: Incorrect as the structure and contents of reports should be tailored to the audience's needs to ensure effective communication.

Option D: Incorrect because specifying communication lines is typically done in the test plan, not the status report.

Thus, option A best describes a key aspect of a test status report.

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​​.

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​​.