ISTQB CTAL-TTA Practice Test - Questions Answers

Cyclomatic complexity is a measure of the number of linearly-independent paths through a program's source code, which is often used as a measure of the complexity of a program. The control flow graph provided represents the logic of a software component and has more than 5 nodes with decision points, indicating that the complexity would exceed the maximum allowed value of 5. The calculation for cyclomatic complexity is V(G) = E - N + 2P, where E is the number of edges, N is the number of nodes, and P is the number of connected components. In this case, the calculated cyclomatic complexity exceeds the allowed threshold, thus a defect should be reported.

The provided pseudo code for the Answer program shows a WHILE loop that will always execute because the condition for the loop to terminate (a >= d) is never met within the loop's body. This results in an infinite loop. Additionally, since the value of 'b' is initialized with 'a + 10' and 'a' starts from a value that is read and then set to 2, 'b' will never be equal to 12. Therefore, the 'THEN' branch of the IF statement, which includes 'print(b)', is unreachable. These are control flow anomalies because they represent logic in the code that will not function as presumably intended.

Fault seeding is a method used to evaluate the effectiveness of a testing process. Tools designed for fault seeding intentionally insert known defects into the source code, which are then supposed to be discovered during testing. The main purpose is not to check the input checking capabilities, support specification-based test design techniques, or assess maintainability of the software, but rather to gauge how well the testing process can identify and capture defects. By comparing the number of seeded faults that are found against the total number of faults inserted, test teams can get an insight into the effectiveness of their testing strategies and coverage. This method helps in understanding the detection capabilities of testing efforts and in identifying potential areas for improvement in test processes.

Static analysis is used on an Agile project to identify the causes of technical debt through the use of tools. This approach allows teams to detect potential issues in code that could lead to technical debt if not addressed promptly, thus maintaining the health of the codebase as it evolves rapidly in Agile environments .

The scenario written in correct Gherkin format and appropriate for the User Story described is Option D:

Given that three Purchase Orders with a total value of 21.75 have been placed so far this month,

When the Purchasing Manager requests the list of Purchase Orders placed this month,

Then the 3 orders and their total value of 21.75 are displayed.

This scenario correctly uses the Gherkin syntax with Given-When-Then structures that clearly specify the context, the action taken by the user, and the expected outcome, making it directly relevant to the user story's intent .

Personas are the best requirements engineering technique for identifying how different groups of users may interact with a system. This technique involves creating detailed profiles for fictional users that represent different user segments. By exploring these personas, developers and testers can uncover unique needs, behaviors, and potential gaps in the system's design and functionality .

Quantitative Questionnaires are the best elicitation technique for questioning a large number of stakeholders specifically to obtain information for non-functional acceptance criteria. This method allows for collecting measurable, numerical data from a broad audience efficiently, which is crucial for understanding and defining non-functional requirements such as performance, scalability, and usability

For a Medium risk mission- or safety-critical system, the best testing approach includes a combination of automated tests, exploratory tests, and manual black-box tests. Option B is the most comprehensive, advocating for automated tests to ensure reliability and repeatability, highly recommending exploratory tests to cover unforeseen scenarios, and recommending manual black-box tests to cover standard use cases. This multifaceted approach ensures thorough testing coverage essential for medium risk, safety-critical systems.

Once existing test cases have been identified for refactoring, the next step is typically to make changes to the internal structure of these tests to improve their maintainability. This involves revising the code or scripts to make them cleaner, more efficient, and easier to understand, which helps in maintaining them over time as the software evolves. This process may also involve updating test data or dependencies to ensure that the tests remain robust and reliable .