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

When a manager asks when testing will be complete, the most appropriate and informative resource to provide an answer is test progress reports (Option A). Test progress reports contain detailed information on the status of testing activities, including what has been accomplished, what remains to be done, the results of the tests conducted, and any issues or risks that might impact the completion of testing. These reports allow for an informed assessment of the testing progress and estimation of when testing might be completed. Options B, C, and D do not provide the structured, detailed, and specific information required to accurately answer the manager's question about the completion of testing.

Comprehensive and Detailed In-Depth Explanation:

Statement testing aims to execute every executable statement in the source code at least once.

(D) is correct as statement testing ensures maximum statement execution.

(A) describes branch testing, which focuses on flow transfers.

(B) and (C) incorrectly mix decision testing and branch testing concepts.

All testing levels are applicable, independent of which software development life-cycle process (V-model, iterative, incremental) is used. Testing levels are defined based on the scope and objectives of testing, not on the software development model. Component testing, integration testing, system testing and acceptance testing are common testing levels that can be applied to any software development model, as long as they are planned and executed properly. The V-model is a software development model that emphasizes the relationship between each development phase and its corresponding testing phase. Iterative and incremental models are software development models that divide the development process into smaller cycles or iterations, where each iteration produces a working version of the software that can be tested and evaluated. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 18.

Comprehensive and Detailed In-Depth Explanation:

Exhaustive testing (testing all input combinations) is practically impossible except in trivial cases (C). Instead, testers focus on risk-based, prioritized, and efficient test techniques. The seven principles of testing in the ISTQB syllabus highlight that exhaustive testing is infeasible, and therefore, techniques such as equivalence partitioning, boundary value analysis, and risk-based testing are used to optimize test coverage.

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 of coverage 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.

Comprehensive and Detailed In-Depth Explanation:

Decision rules define possible combinations of conditions and outcomes.

For this scenario:

Bulk discount has 3 categories (0%, 5%, 10%)

Frequent customer discount has 2 categories (Yes = +5%, No = 0%)

The total number of decision rules is:

3 bulk discount options × 2 frequent customer options = 6 rules.

Thus, the correct answer is 6 decision rules (B).