iSQI CTFL_Syll2018 Exam With Confidence Using Practice Dumps

Functional testing is an example of black-box dynamic testing. Functional testing is the process of testing the functionality or behavior of a software system based on its requirements or specifications. Functional testing does not require any knowledge of the internal structure or implementation of the system under test; it only focuses on what the system does rather than how it does it. Functional testing is also an example of dynamic testing because it involves executing the software system with selected inputs and observing its outputs and effects on the environment. Dynamic testing is different from static testing, which involves examining the software system without executing it, such as code inspection, static analysis, etc. You can find more information about functional testing and dynamic testing in A Study Guide to the ISTQB® Foundation Level 2018 Syllabus, Chapter 21.

Beta testing is a type of acceptance testing that is normally performed by customers or potential customers at their own locations. Beta testing is done after the software product has passed the internal testing and quality assurance processes and is ready for release or deployment. Beta testing allows the customers or users to evaluate the software product in their real environment and provide feedback and suggestions for improvement. Beta testing can also help identify defects, compatibility issues, usability problems, or performance bottlenecks that might not have been detected during the internal testing. You can find more information about beta testing in [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus], Chapter 2, Section 2.3.

For the code fragment given below, one test case is required for statement coverage and two test cases are required for branch coverage. Statement coverage requires that every executable statement in the code is executed at least once. Branch coverage requires that every possible outcome of each decision point in the code is executed at least once. The following table shows how to achieve statement and branch coverage for the code fragment:

Test Case

Input

Output

Statement Coverage

Branch Coverage

1

x = 3

y = 9

S1, S2, S3

T1 = true

2

x = 5

y = 25

S1, S2

T1 = false

As shown in the table, test case 1 covers all three statements (S1, S2, S3) in the code fragment, achieving 100% statement coverage. Test case 2 covers only two statements (S1, S2) in the code fragment, but it exercises a different outcome of the decision point T1 (if x < 4), achieving 100% branch coverage.