Pass the ISTQB Foundation Level ISTQB-CTFL Questions and answers with ValidTests

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 atest 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 oftransitions 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 outputranges 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. References = 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.

A product risk is a risk that affects the quality or timeliness of the software product being developed or tested1. Product risks are related to the requirements, design, implementation, verification, and maintenance of the software product2.

The risk of the sub-contractor failing to meet his commitment is a product risk, as it could cause a delay in the completion of the testing required for the current cycle, which in turn could affect the release date of the product. The release date is an important aspect of the product quality, as it reflects the customer satisfaction and the market competitiveness of the product3.

The other options are not correct because:

A. It is not true that any risk associated with development timeline is a product risk. Some risks could be project risks, which are risks that affect the management or control of the software project, such as budget, resources, schedule, or communication1. For example, a risk of losing a key project stakeholder is a project risk, not a product risk.

B. It is not true that the risk is no longer a risk for the Test Manager since an independent party is managing it. The Test Manager is still responsible for ensuring that the testing activities are completed according to the test plan and the quality objectives4. The Test Manager should monitor and control the sub-contractor’s performance and communicate with him regularly to identify and mitigate any potential issues or deviations5.

C. It is not clear what is meant by “object” in this option, but it could be interpreted as the software system under test or the test object6. In any case, the risk is not an object risk, as it does not affect the successful completion of the object, but rather the successful completion of the testing of the object. An object risk could be a risk that affects the functionality, reliability, usability, efficiency, maintainability, or portability of the software system under test2. For example, a risk of the software system having a high complexity or a low testability is an object risk, not a product risk.

References =

1 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 97

2 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 98

3 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 99

4 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 100

5 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 101

6 ISTQB® Certified Tester Foundation Level Syllabus v4.0, 2023, p. 102

To determine the optimal test execution schedule that minimizes the number of configuration switches and respects the dependencies, we start with the initial configuration, CONF1.

TC4: It has no dependencies and runs on CONF1 (initial configuration).

TC3: Depends on TC4 and runs on CONF1. Since TC4 is already executed, we can proceed with TC3.

TC2: Depends on TC4 and runs on CONF2. We switch to CONF2 after TC3.

TC1: No dependencies and runs on CONF2. Since we are already in CONF2, we can execute TC1 next.

TC5: Depends on TC1 and runs on CONF2. Since TC1 is already executed, we can proceed with TC5 without additional configuration switches.

By following this sequence (TC4, TC3, TC2, TC1, TC5), we respect the dependencies and minimize the number of configuration switches

To achieve 100% branch coverage of the process flow, we need to test both the true and false outcomes of the condition (User presses Cancel). Branch coverage is a type of structural testing that measures how many decision outcomes in a program have been executed by a test suite. Branch coverage can be used to assess the adequacy or completeness of a test suite.

To test the true outcome of the condition, we need a test case that simulates the user pressing Cancel after booking a bill. This test case will exit the loop and end the process flow.

To test the false outcome of the condition, we need a test case that simulates the user not pressing Cancel after booking a bill. This test case will repeat the loop and book another bill.

Therefore, we need at least two test cases to achieve 100% branch coverage of the process flow. One test case for each possible outcome of the condition.

Verified References: [A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer], Chapter 4, page 40-41.

Component integration tests are designed to verify the interactions and interfaces between integrated components. These tests should be carried out after component testing (where individual components are tested in isolation) but before system testing (where the entire system is tested as a whole). This ensures that any issues arising from the integration of components are identified and resolved early in the testing process, making option D the correct answer​​.

The test manager is most likely following the V-model for software development. The V-model is a software development model that defines four testing levels that correspond to four development phases: component testing corresponds to component design, integration testing corresponds to architectural design, system testing corresponds to system requirements specification, and acceptance testing corresponds to user requirements specification. The V-model also defines the test planning and test execution activities for each testing level. Agile is a software development model that follows an iterative and incremental approach, where testing is integrated into each iteration and adapts to changing requirements and feedback. Waterfall is a software development model that follows a sequential and linear approach, where testing is performed after the development phase is completed. Prototyping is a softwaredevelopment model that involves creating a simplified version of the software to elicit user feedback and validate requirements before developing the final product. Verified References: A Study Guide to the ISTQB® Foundation Level 2018 Syllabus - Springer, page 18.

This question relates to identifying product risks, which are potential problems associated with the product itself, such as software functionality, reliability, usability, and performance. Option A describes a scenario where the application might not meet performance requirements under specific conditions (up to 300 concurrent users), which directly impacts the product's ability to perform its intended function. This is a classic example of a product risk, as it concerns the product's quality and its ability to meet user needs. Options B, C, and D, on the other hand, relate to project risks, which are concerns related to the management and execution of the project, such as tool acquisition, environment configuration, and team expertise, rather than the quality of the product itself.

One of the common risks associated with test automation tools is the underestimation of the effort required to maintain test scripts. Test scripts can become outdated or broken due to changes in the application, requiring significant effort to update and maintain them. This risk is highlighted in the ISTQB CTFL syllabus under the discussion of the benefits and risks of test automation.

References:ISTQB CTFL Syllabus, Section on test tools and automation.

White-box test techniques are test design techniques where the test cases are derived from the internal structure of the software, including its architecture, code, and logical flow. These techniques involve the tester having knowledge of the internal workings of the software to create test cases that ensure all possible paths and conditions are tested. This is in contrast to black-box test techniques, which focus on input-output behavior without considering the internal structure.Reference:ISTQB CTFL Syllabus V4.0, Section 4.3

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.