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

Statement coverage, also known as line coverage, is a metric used in white-box testing to measure the percentage of executable statements in the source code that have been executed by the test suite. Achieving a certain percentage of statement coverage means that an equivalent percentage of the executable statements in the code have been executed during testing.

For example, achieving 80% statement coverage indicates that 80% of the lines of code have been run through during the testing process. This metric helps in identifying parts of the code that have not been tested and may contain undetected defects.

It's important to note that achieving high statement coverage does not necessarily guarantee that all possible paths or scenarios within the code are tested, nor does it ensure the detection of all types of defects. Other coverage metrics, such as branch coverage or condition coverage, might also be necessary to achieve a more thorough testing process.

Planning poker is a consensus-based estimation technique used in Agile. It involves team members selecting cards with their estimate for a user story, then discussing the differences in estimates.

Option A:Incorrect. While three-point estimation is valid, planning poker focuses on team consensus rather than individual estimation techniques.

Option B:Incorrect. The goal of planning poker is not to force unanimity but to reach a reasonable consensus.

Option C:Incorrect. Averaging estimates is not how planning poker works.

Option D:Correct. The members with the highest and lowest estimates discuss their reasoning to foster understanding and adjust estimates accordingly in subsequent rounds.

Product risksare risks thatimpact the quality or functionality of the software, whereasproject risksaffect theprocess, resources, or timeline.

(A) is correctbecause incorrect calculations impact software correctness.

(B), (C), and (D) are project risksas they relate toteam coordination, staffing, and schedulingrather than software defects.

Identifyingproduct risksearlyimproves defect detection and ensures better coverage for high-risk areas.