The following 4 equivalence classes are given: Which of the following alternatives includes correct test values for x. based on equivalence partitioning?
Correct Answer: D
The question is about selecting the correct test values for x based on equivalence partitioning. Equivalence partitioning is a software test design technique that divides the input data of a software unit into partitions of equivalent data from which test cases can be derived. In this case, the given equivalence classes are: (x \leq -100) (-100 < x < 100) (100 \leq x < 1000) (x \geq 1000) Option D provides a value from each of these partitions: For (x \leq -100), it gives -1000. For (-100 < x < 100), it gives -100 and 100. For (100 \leq x < 1000), it gives 500. For (x \geq 1000), it gives 1500. So, option D covers all four given equivalence classes with appropriate values. Reference: 1: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 38 2: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 39 3: ISTQB Foundation Level Syllabus 2018, Version 4.0, p. 40
Question 42
During component testing of a program if 100% decision coverage is achieved, which of the following coverage criteria is also guaranteed to be 100%?
Correct Answer: D
Statement coverage is a structural coverage metric that measures the percentage of executable statements in the source code that are executed by a test suite1. Decision coverage is another structural coverage metric that measures the percentage of decision outcomes (such as branches or conditions) in the source code that are executed by a test suite1. Decision coverage is a stronger metric than statement coverage, because it requires that every possible outcome of each decision is tested, while statement coverage only requires that every statement is executed at least once2. Therefore, if a test suite achieves 100% decision coverage, it also implies that it achieves 100% statement coverage, because every statement in every branch or condition must have been executed. However, the converse is not true: 100% statement coverage does not guarantee 100% decision coverage, because some branches or conditions may have multiple outcomes that are not tested by the test suite2. For example, consider the following pseudocode: if (x > 0) then print("Positive") else print("Non-positive") end if A test suite that executes this code with x = 1 and x = -1 will achieve 100% statement coverage, because both print statements are executed. However, it will not achieve 100% decision coverage, because the condition x > 0 has only been tested with two outcomes: true and false. The third possible outcome, x = 0, has not been tested by the test suite. Therefore, the test suite may miss a potential bug or error in the condition or the branch. The other options, such as stale transition coverage, equivalence class coverage, and boundary value coverage, are not guaranteed to be 100% by achieving 100% decision coverage. Stale transition coverage is a structural coverage metric that measures the percentage of transitions between states in a state machine that are executed by a test suite3. Equivalence class coverage is a functional coverage metric that measures the percentage of equivalence classes (or partitions) of input or output values that are tested by a test suite4. Boundary value coverage is another functional coverage metric that measures the percentage of boundary values (or extreme values) of input or output ranges that are tested by a test suite4. These metrics are independent of decision coverage, because they are based on different aspects of the system under test, such as its behavior, functionality, or specification. Therefore, achieving 100% decision coverage does not imply achieving 100% of any of these metrics, and vice versa. Reference = ISTQB Certified Tester Foundation Level Syllabus v4.0, Test Coverage in Software Testing - Guru99, Structural Coverage Metrics - MATLAB & Simulink - MathWorks India, Test Design Coverage in Software Testing - GeeksforGeeks.
Question 43
A virtual service emulating a real third-party service and the automated test scripts (aimed at testing the system under test) that interact with that service, are test work products that are typically created during:
Correct Answer: B
This answer is correct because test implementation is the activity where test work products, such as test cases, test data, test scripts, test harnesses, test stubs, or virtual services, are created and verified. Test implementation also involves setting up the test environment and preparing the test execution schedule. A virtual service emulating a real third-party service and the automated test scripts that interact with that service are examples of test work products that are typically created during test implementation. Reference: ISTQB Glossary of Testing Terms v4.0, ISTQB Foundation Level Syllabus v4.0, Section 2.2.2.3
Question 44
Which ONE of the following statements does NOT describe how testing contributes to higher quality?
Correct Answer: B
The testing of software does not demonstrate the absence of defects, but rather the presence of defects or the conformance of the software to the specified requirements1. Testing can never prove that the software is defect-free, as it is impossible to test all possible scenarios, inputs, outputs, and behaviors of the software2. Testing can only provide a level of confidence in the quality of the software, based on the coverage, effectiveness, and efficiency of the testing activities3. The other options are correct because: A . Properly designed tests that pass reduce the level of risk in a system, as they verify that the system meets the expected quality attributes and satisfies the needs and expectations of the users and clients4. Risk is the potential for loss or harm due to the occurrence of an undesirable event5. Testing can help to identify, analyze, prioritize, and mitigate the risks associated with the software product and project6. C . Software testing identifies defects, which can be used to improve development activities, as they provide feedback on the quality of the software and the effectiveness of the development processes7. Defects are flaws or errors in the software that cause it to deviate from the expected or required results or behavior. Testing can help to detect, report, track, and resolve the defects, and prevent them from recurring in the future. D . Performing a review of the requirement specifications before implementing the system can enhance quality, as it can ensure that the requirements are clear, complete, consistent, testable, and aligned with the needs and expectations of the users and clients. Requirements are the specifications of what the software should do and how it should do it. Testing can help to validate that the requirements are met by the software, and verify that the software is implemented according to the requirements. Reference = 1 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 10 2 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 11 3 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 12 4 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 13 5 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 97 6 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 98 7 ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 14 [8] ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 15 [9] ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 16 [10] ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 17 [11] ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 18 [12] ISTQB Certified Tester Foundation Level Syllabus v4.0, 2023, p. 19
Question 45
The following chart represents metrics related to testing of a project that was competed. Indicate what is represented by tie lines A, B and the axes X.Y
Correct Answer: D
Option D correctly explains what is represented by the lines A, B and the axes X, Y in a testing metrics chart. According to option D: X-axis represents Time Y-axis represents Count Line A represents Number of open bugs Line B represents Total number of executed tests This information is essential in understanding and analyzing the testing metrics of a completed project.
