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.

Comprehensive and Detailed Explanation From Exact Extract:

From the user story analysis and final achievements:

It was confirmed that dues were paid monthly for over a year, whichcovers criteria 1, 2, 3, 5, 6, 7, and 8.

However, there isno mention of testing for “annual payment”, soacceptance criteria 4, which involveschoosing between monthly or annualpayment, wasnot fully tested.

This reflects the requirement stated in:

“Acceptance criteria are used to: Define the scope… Describe both positive and negative scenarios… Serve as a basis for the user story acceptance testing.”

(ISTQB CTFL Syllabus v4.0, Section 4.5.2, Page 45)

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