CTFL_Syll_4.0 Exam Dumps - ISTQB Certified Tester Foundation Level (CTFL) v4.0

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 ofcoverage 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.

This answer is correct because code-related white-box test techniques are test design techniques that use the structure of the code to derive test cases. They provide an objective measure of coverage, such as statement coverage, branch coverage, or path coverage, which indicate how much of the code has been exercised by the test cases. Code-related white-box test techniques can be used to complement black-box test techniques, which are test design techniques that use the functional or non-functional requirements of the system or component to derive test cases. By combining both types of techniques, testers can increase their confidence in the code and find more defects. References: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.3.2.2

Looking for defects in a system does not require ignoring system details, but rather paying attention to them and understanding how they affect the system’s quality, functionality, and usability. Ignoring system details could lead to missing important defects or testing irrelevant aspects of the system.

Identifying defects may be perceived as criticism against product, especially by the developers or stakeholders who are invested in the product’s success. However, identifying defects is not meant to be a personal attack, but rather a constructive feedback that helps to improve the product and ensure its alignment with the requirements and expectations of the users and clients.

Looking for defects in system requires professional pessimism and curiosity, as testers need to anticipate and explore the possible ways that the system could fail, malfunction, or behave unexpectedly. Professional pessimism means being skeptical and critical of the system’s quality and reliability, while curiosity means being eager and interested in finding out the root causes and consequences of the defects.

Testing is often seen as a destructive activity instead of constructive activity, as it involves finding and reporting the flaws and weaknesses of the system, rather than creating or enhancing it. However, testing is actually a constructive activity, as it contributes to the system’s improvement, verification, validation, and optimization, and ultimately to the delivery of a high-quality product that meets the needs and expectations of the users and clients.

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

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

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.