CTFL-Foundation ISTQB Certified Tester Foundation Level Questions and Answers

A Test Procedure Specification is a document that outlines the precise steps required to execute a test. It includes detailed instructions on the setup, execution, and teardown of the test environment, as well as the specific actions to be performed and the expected results. This document ensures that tests are conducted consistently and repeatably​​.

Load testing is a type of non-functional testing used to verify that the system can handle a specified load of users performing transactions within acceptable performance parameters. In this case, load testing would ensure that up to 100 users can carry out transactions simultaneously with response times within 5 seconds. This testing helps identify performance bottlenecks and ensure that the system meets the performance requirements under expected user load conditions​​.

The level of risk is determined by evaluating both the impact and the likelihood of an adverse event occurring. This approach ensures that both the severity of potential consequences and the probability of the event are considered. The impact assesses how serious the consequences would be if the event happened, while the likelihood evaluates how probable it is that the event will occur. This combination provides a comprehensive measure of risk, helping organizations prioritize their risk management efforts effectively​​.

Functional and structural testing can be applied at all test levels. Functional testing focuses on verifying that the software behaves as expected based on the requirements, while structural testing examines the internal structure and workings of the software. These testing approaches are complementary and can be used together at various stages of testing, including component, integration, system, and acceptance testing. Applying both types of tests ensures a comprehensive evaluation of the software's functionality and internal structure​​.

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Equivalence partitioning is a black-box test design technique that divides input data into partitions that are expected to be treated similarly by the system. In this case, 0600 falls into the peak-time tariff, 1000 is at the boundary of peak-time but still included in it, and 1200 falls into the off-peak tariff. This ensures that each input is from a different equivalence partition, testing different functional areas of the system​​.

Writing test summary reports is typically the responsibility of a test leader or manager, who consolidates testing activities and results to communicate with stakeholders. Testers are more involved in preparing and acquiring test data, setting up and checking the test environment, and reviewing tests developed by others. These tasks are more hands-on and technical, aligning with the role of a tester​​ .

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Testing support tools are typically used to automate activities that are resource-intensive when done manually, repetitive tasks, and repetitive inspections. However, they are not usually designed to automate activities that cannot be executed manually at all, as such activities may require complex and sophisticated human intervention or decision-making.

Software testing contributes to the quality of delivered software by identifying root causes of defects from past projects. This allows the team to learn from previous mistakes and improve their processes, ultimately reducing the defect count in future projects.

The highest level of testing independence is achieved when the testing process is performed by individuals or teams who are completely independent of the development team and the organization. Option B, which involves outsourcing test design and execution to a different company, ensures that there is no bias or influence from the development team or company politics, thereby achieving the highest level of testing independence​​.

Decision coverage is a testing metric used to ensure that all possible paths (decisions) in the code have been executed at least once. It is not used to verify the correctness of module calls, which is more related to integration testing or control flow testing. Options A, B, and D describe valid uses of decision coverage, ensuring that decisions are exercised in programs, business processes, and measuring the extent of coverage by a test suite​​ .

During the test planning stage, it is important to assign resources for the planned activities. This ensures that the necessary personnel, equipment, and time are allocated to execute the test plan effectively. Analyzing the test basis, designing test environments, and writing a test execution schedule are activities that come after the initial planning and resource allocation​​.

Debugging is the process that involves locating the cause of a failure and fixing the defect. Therefore, activities b) "Locating the cause of failure" and c) "Fixing the defect" are debugging activities. Identifying a failure and checking that the fix has resolved the failure are parts of testing, not debugging​​.

When a developer makes a mistake that introduces a fault in the code, and this fault is not detected during testing, it becomes a latent defect. The definite consequence is that if this defect is executed under specific conditions, it may cause the system to fail. The actual failure occurs only when the defect is triggered during the system's operation. This emphasizes the importance of thorough testing to catch such defects before the software is released​​.

Testing is primarily aimed at detecting defects, verifying the functionality, and providing information to stakeholders for decision-making. While investigating defects is part of the testing process, fixing defects is not typically considered an objective of testing; it falls under the development activities. The main objectives of testing include preventing defects (through early testing activities), gaining confidence in the system, and providing valuable information to stakeholders​​.

The pesticide paradox in testing refers to the phenomenon where continuously using the same set of tests on the software eventually becomes less effective at finding new defects. Just as insects can develop resistance to pesticides over time, software defects become less detectable by tests that are not updated. Therefore, to maintain the effectiveness of testing, it is essential to regularly review and revise the test cases to introduce new tests and update existing ones​​.

Structural testing, also known as white-box testing, focuses on the internal structure of the software. It includes testing all paths, achieving decision coverage, and ensuring that all branches within the component calls are tested. Ensuring that users can navigate to all fields on the screen, however, is a form of functional testing, which focuses on the behavior and usability of the application from the user's perspective, rather than its internal structure​​.

An incident report typically includes the version(s) of the software under test, expected results and actual results, and precise steps to reproduce the problem. However, the test execution schedule is not a standard part of an incident report. It is more relevant to test planning and management documents rather than incident reporting​​.

An independent test function in an organization helps improve defect finding during reviews and testing by providing an unbiased perspective on the software. Independent testers are not influenced by the development team’s constraints and can evaluate the software more objectively. This leads to the identification of defects that might be overlooked by developers who are too close to their own code. Independent testing enhances the quality and reliability of the software by bringing fresh insights and ensuring thorough testing​​.

For a system with complex business rules and many branches, decision testing (a white-box technique) is appropriate because it ensures that each decision point (branch) in the code is tested. Equivalence partitioning (a black-box technique) complements this by ensuring that all functional areas (based on different inputs) are adequately tested. This combination provides thorough coverage of both the internal logic and the functional requirements of the system​​.

In the provided state table, an invalid transition is represented by an empty cell. According to the table, Event E from State S4 is an invalid transition as the cell for this combination is empty. This indicates that the transition from State S4 on Event E is not defined​​.

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To meet the test plan requirements and logical dependencies, the test schedule should start with re-tests (those that have previously failed), followed by the highest priority tests. Additionally, tests should be scheduled to create necessary test data for subsequent tests. In this case, test e (log in as admin user and create a standard user) must be done first as it is necessary to perform all other actions. Following this, test a (log in as standard user and create customer account) creates the standard user needed for subsequent actions. Then, the highest priority test d (order two items or more), which has failed before, should be executed next, followed by test c (create invoice for order), and finally test b (order one item)​​.

A dynamic analysis tool would have been the most effective at detecting a defect where a code component fails to release memory after use. These tools analyze the behavior of the software while it is running, allowing them to identify issues like memory leaks, which occur when memory is not properly freed. Dynamic analysis tools can monitor the allocation and deallocation of memory in real-time, helping to pinpoint the exact location and cause of the memory leak before the software is deployed​​ .

Good testing practice involves early involvement of testers in the software development process. This helps identify defects early and provides better understanding and clarification of requirements. Involving testers in reviewing requirements or user stories as soon as drafts are available allows for early detection of defects, which is more cost-effective and efficient. This practice is beneficial regardless of the software lifecycle model used​​ .

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Equivalence Partitioning is a black box test design technique used to divide input data into partitions that are expected to be treated the same by the system. It focuses on ensuring that each partition represents a set of valid or invalid states for the input, and one test case from each partition is enough to cover the entire set. This technique does not rely on the internal structure of the code but rather on the functionality and behavior as seen from the user's perspective​​.

Common metrics used for monitoring test preparation and execution typically include quantitative measures such as the number of test cases passed and failed, the percentage of planned test cases designed, and the percentage of tasks completed in test environment preparation. These metrics provide insights into the progress and effectiveness of the testing process. However, the number of test plan review comments is not a typical metric for this purpose, as it does not directly measure the progress or quality of test execution​​.

Experience-based test design techniques rely on the tester's skill, intuition, and experience to derive test cases. Techniques like error guessing and exploratory testing fall under this category. These methods do not depend on formal specifications but rather on the tester's understanding of the system and potential areas where defects might exist.

It is generally not feasible to perform exhaustive testing due to time and resource constraints. Instead, testing efforts should be focused using risk analysis and priorities to ensure the most critical areas are tested thoroughly. This approach helps in maximizing the effectiveness of the testing process while managing resources efficiently.

Test execution tools include tools that directly assist in the execution of tests and comparison of actual outcomes with predicted outcomes. A test harness (b) is used to execute tests by providing the necessary context and data inputs for running a test. Test comparators (d) are used to compare the actual results produced by the system under test with the expected results, which is a key part of test execution.

The configuration management process ensures that all items of testware are identified, version controlled, and tracked for changes. This process helps maintain traceability throughout the test process, ensuring that all test artifacts are managed systematically and changes are monitored effectively.

A test case defines the expected result of a test. The ISTQB CTFL syllabus v4.0 explains that a test case includes a set of input values, execution preconditions, expected results, and execution postconditions developed for a particular objective or test condition​​.

Test case 1 exercises the decision outcomes True, False, False

Test case 2 exercises the decision outcomes False, True, False

This leaves the True outcome of decision 3 not exercised.

Of the 6 possible decision outcomes, 5 have been exercised, so the decision coverage is 5/6 (about 83%).

The correct sequence in the causal chain is "Error, fault, failure". An error (or mistake) made by a person can lead to a fault (or defect) in the software. When the fault is executed, it may cause a failure in the software system. This sequence is important to understand the cause and effect relationship in software testing and defect management​​ .

Boundary Value Analysis (BVA) involves testing at the boundaries between partitions. For the given tax calculation system, the boundaries include $4,000 (tax-free), $5,500 (next bracket start), and $33,500 (higher bracket start). Testing with $5,000 is valid because it is a boundary value between the tax-free and the 10% tax bracket.

Static techniques involve the examination and evaluation of software products without executing them. According to the ISTQB syllabus, these techniques include both manual and automated reviews and analyses of code and project documentation. This helps identify defects early in the development process, improving the overall quality and reducing the cost of fixing defects later in the lifecycle​​.

A valid objective of testing is to prevent defects. While correcting defects and locating defects in the code are part of the testing process, the primary goal is often to prevent defects by identifying issues early in the development cycle and improving the overall quality of the software. Ensuring no defects are present is an unrealistic objective, as testing can demonstrate the presence of defects but not their absence.

The main objective during development testing is to cause as many failures as possible to identify defects in the software. This proactive approach ensures that defects are discovered and addressed early in the development process, improving the overall quality and reliability of the final product​​.

Effective communication is crucial during reviews and testing. When testers and reviewers communicate defects as personal criticism rather than focusing on the software product, it can lead to conflicts and a toxic team environment. The ISTQB CTFL Syllabus stresses the importance of maintaining a professional and objective approach to defect reporting to avoid interpersonal conflicts and promote a collaborative atmosphere​​.

Checking test logs against the exit criteria specified in test planning is part of the exit criteria evaluation phase, not the test implementation and execution phase. Test implementation and execution tasks include developing and prioritizing test cases, creating test data, writing test procedures, preparing test harnesses, writing automated test scripts, logging the outcome of test execution, and verifying the test environment setup. The ISTQB CTFL Syllabus delineates these tasks to ensure proper test preparation and execution​​.

The test process can start as soon as the software requirements have been approved. The ISTQB CTFL syllabus v4.0 emphasizes that early involvement of testing helps in identifying defects early in the lifecycle, which includes the validation of requirements and planning of testing activities based on those requirements​​.

The main purpose of use case testing is to identify defects in process flows related to the typical use of the system. Use case testing is a black-box test design technique that is based on use case scenarios. These scenarios help in validating that the system performs correctly for the specific ways in which the users will interact with it. This method is particularly effective in finding issues that users might encounter during real-world usage of the system. Reference: ISTQB CTFL Syllabus V4.0, Section 4.2.4​​.

This option has someone nearer to the written code in each statement. All other options are not in this order.

Tester independence refers to the degree to which the tester is separate from the development team to avoid bias and increase the objectivity of the tests. The highest level of independence is achieved when tests are designed by someone from an entirely different company, followed by someone from a different department within the same company, and then by another member of the development team. The lowest level of independence is when tests are designed by the author of the code being tested.

Exit criteria are defined to determine when a specific testing activity or the entire testing process should be considered complete. This includes setting conditions such as when to stop testing, the end of a test level, and when certain pre-defined conditions or coverage levels have been achieved. Exit criteria help ensure that testing is systematic and meets the project's quality standards before moving on to the next phase or release​​.

Failures in software can be caused by various reasons, including testing faults, software faults, design faults, environment faults, and documentation faults. The ISTQB CTFL syllabus v4.0 discusses that these types of issues can all contribute to failures in software, highlighting the importance of thorough testing and review processes throughout the software development lifecycle​​.

Incremental testing approaches involve testing components of the software in increments or steps, allowing for integration and testing of parts of the system progressively. According to the ISTQB CTFL Syllabus, version 4.0, the common types of incremental testing approaches include:

Top-down : Testing starts from the top of the module hierarchy and progresses downwards.

Bottom-up : Testing begins with the lower-level modules and progresses upwards.

Functional incrementation : Adding and testing one function at a time.

Big-bang testing, however, is not an incremental approach. In big-bang testing, all components or modules are integrated simultaneously, and the system is tested as a whole. This approach does not allow for incremental testing and integration and is therefore not considered a type of incremental testing approach​​.

One of the seven key principles of software testing is that exhaustive testing is impossible. This principle highlights the impracticality of testing all possible input and output combinations due to the vast number of permutations. Instead, risk-based and prioritized testing approaches should be used to focus on the most critical areas. This principle is fundamental in the ISTQB CTFL Syllabus, emphasizing the importance of efficient test strategy over attempting exhaustive testing​​.

Developers often have difficulty testing their own work primarily due to a lack of objectivity. When developers test their own code, they might unconsciously overlook errors because they are too familiar with the code and its intended functionality. This lack of impartiality can lead to missed defects and a biased view of the code's quality. Independent testing by other testers or teams helps to mitigate this issue by providing an objective perspective​​.

The typical order of testing phases starts with unit testing, where individual components are tested in isolation. This is followed by system testing, where the integrated system is tested as a whole. Acceptance testing is then conducted to ensure the system meets the business requirements and is ready for deployment. Finally, maintenance testing is performed after the system is in production to ensure it continues to function correctly and to address any issues that arise.

Regression testing is designed to verify that recent code changes have not adversely affected existing functionality. It is particularly well-suited for test automation because automated tests can be rerun quickly and consistently. While regression tests are essential in many testing phases, they are distinct from acceptance testing, which focuses on validating that the system meets business requirements.

Complete testing is best defined as having tested every statement, branch, and combination of branches in the program. This definition aligns with achieving thorough code coverage, ensuring that all parts of the code have been exercised by tests. However, it is important to note that complete testing in a practical sense is rarely achievable, as it assumes exhaustive testing of all possible scenarios. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3.2​​.

The fundamental test process consists of the following broad chronological steps:

Planning and control

Analysis and design

Implementation and execution

Evaluating exit criteria and reporting

Test closure activities

Option B correctly places three of these steps in the correct order: Analysis and design, followed by Evaluating exit criteria and reporting, and finally Test closure activities. This order reflects the logical sequence of performing detailed test analysis and design before executing tests and then evaluating the results to determine if exit criteria have been met, followed by wrapping up the testing activities.

Regression testing serves to demonstrate that unchanged areas of the software have not been unintentionally affected by changes. The ISTQB CTFL syllabus v4.0 states that while regression testing can be carried out at various stages of the lifecycle and is often automated, its primary purpose is to ensure that existing functionality remains unaffected after changes​​.

(i) Executing component integration tests is usually done by developers. Developers are usually responsible for unit and component integration testing. Independent testing usually follows at system and acceptance test levels.

(ii) Static analysis is usually done by developers because: it requires an understanding of the code and therefore the person doing this needs skills in the programming language; and it can be done as soon as the code is written. Therefore it is quick and effective for the developer to do it. The risk of a lack of test independence can be mitigated by performing independent system and acceptance testing.

(iii) Setting up the test environment is an activity typically performed by a tester. It may require support from developers and staff from other departments and on some occasions environments could be set up by developers. However, it is a task that could be done by a tester rather than a developer.

(iv) Deciding how much testing should be automated is typically a decision made by the test leader, who will consult other staff in the decision-making process. Developers may be involved and their skills may be required to automate some tests. However, the decision on how much to automate should not be made by developers.

A driver is a piece of code that calls a function or module to be tested and passes it the necessary test data. It is commonly used in bottom-up integration testing to simulate the higher-level modules that invoke the function being tested. Stubs, on the other hand, are used to simulate lower-level modules. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3.1​​.

A test completion criterion is used to determine when testing activities can be concluded. According to the ISTQB Certified Tester Foundation Level Syllabus v4.0, setting test completion criteria helps in defining when the testing objectives have been achieved, which includes reaching a defined coverage level, running out of time or budget, or meeting the expected level of risk acceptance. These criteria are essential for ensuring that the testing process is concluded appropriately and resources are utilized effectively.

Reviewing the test basis is a key activity in the Test Analysis and Design phase. This phase involves analyzing the test basis documents (such as requirements, design specifications, and use cases) to identify test conditions and design test cases. The ISTQB CTFL Syllabus explains that thorough review of the test basis ensures that the tests are aligned with the specified requirements and design, improving the accuracy and relevance of the tests​​.

Complete statement and branch coverage means that you have tested every statement and every branch in the program. Statement coverage ensures that every executable statement in the code is executed at least once, while branch coverage ensures that every possible path (true and false conditions) through the program's branches (such as IF statements) is executed. Achieving both covers a significant portion of the code, providing a thorough validation of its logic. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3.2​​.

Code Coverage is a measure used to describe the degree to which the source code of a program is tested by a particular test suite. It helps in determining the effectiveness of testing by indicating the parts of the code that have been exercised by the tests and those that have not. It is an important metric for evaluating test coverage and identifying areas that may require additional testing. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3.2​​.

Statement testing is a structure-based (white-box) technique. This technique involves testing the internal structure of the application, focusing on the execution of the statements within the code. The goal is to ensure that every statement in the code has been executed at least once during the testing process. Other options like decision table testing, state transition testing, and boundary value analysis are black-box techniques, which do not require knowledge of the internal code structure. Reference: ISTQB CTFL Syllabus V4.0, Section 4.3.1​​.

Iterative development models include the Rapid Application Development (RAD) model and Agile development model. The ISTQB CTFL syllabus v4.0 explains that these models involve repeated cycles of development activities, allowing for incremental improvements and adjustments based on feedback​​.

Maintenance testing is essential when there is a need to ensure that the software continues to function correctly after it has been modified. Migration to a new platform is a significant change that can impact the software's functionality, requiring thorough maintenance testing to verify that the software performs as expected in the new environment. This ensures that any platform-specific issues are identified and resolved​​.

A data-driven approach to test automation design involves separating the test data inputs from the test scripts. This approach allows the same generic script to read different sets of test data and execute the same test steps with various inputs. This method enhances reusability and efficiency in automated testing by allowing testers to run multiple test scenarios using the same script but different data sets​​.

Integration testing focuses on the interactions between integrated components or systems. It aims to identify defects in the interfaces and interaction points between different parts of the system. According to the ISTQB syllabus, the test basis for integration testing typically includes software and system design documents, while the test objects are the interfaces and interactions between components. The goal is to ensure that the integrated parts function together as intended​​.

The four test levels defined for a common V-model testing approach are Component, Integration, System, and Acceptance testing. These levels align with the development stages in the V-model, where each level of testing corresponds to a specific phase in the software development lifecycle, ensuring comprehensive verification and validation of the software​​.

The Black-box testing technique is a method where the internal structure or workings of the item being tested are not known to the tester. This technique focuses on the input and output of the software system, ensuring that it meets the specified requirements without considering the internal code structure. It contrasts with White-box testing, which involves testing internal structures or workings of an application.

One of the considerations when deploying test execution tools is that recorded manual tests may become unstable. This instability can be due to changes in the user interface, environment, or other dependencies that the recorded script relies on. As a result, maintaining these recorded tests can be challenging and may require frequent updates.

For a review process to be successful, several factors must be in place. According to the ISTQB syllabus, successful reviews generally have clearly defined objectives (a), involve the right people who understand the objectives of the review (c), and place an emphasis on learning and process improvement (d). These elements ensure that the review is focused, effective, and contributes to the overall improvement of the software development process​​.

Testers should be involved in the review of the User Acceptance Testing (UAT) specification as soon as it is drafted. Early involvement of testers ensures that the UAT criteria are clear, complete, and testable. This approach aligns with the shift-left testing strategy, which advocates for early testing activities to identify defects and issues as soon as possible. The ISTQB syllabus emphasizes the importance of early and continuous testing throughout the software development lifecycle​​.

A technical review is a formal type of review that focuses on discussing, making decisions, evaluating alternatives, finding defects, solving technical problems, and checking conformance to specifications, plans, regulations, and standards. It is typically conducted by a team of experts and aims to ensure the technical quality of the product.

For a web-based service designed to be available 24/7, a comprehensive testing approach is necessary to ensure functionality, security, reliability, and performance. Functional testing at the system level will verify the security aspects. Load testing at the system level will ensure the system can handle expected loads and remain available. Regression testing across all levels will confirm that changes do not introduce new defects. Structure-based testing at the component level will ensure the internal structure of components is robust. The ISTQB syllabus outlines these testing types and their importance in different contexts and levels​​.

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Test planning should be a continuous activity throughout the software development lifecycle. This ensures that the test plans remain relevant and effective, adapting to any changes in the project scope, requirements, or timelines.

The highest level of independence in testing is achieved by having independent test specialists who focus on specific test types such as usability, performance, or certification testing. This independence helps in unbiased defect detection and evaluation, minimizing cognitive biases that might affect testers who are closer to the development process.

State transition testing is the most effective test design technique for testing screen-dialog flows. This technique is used to model the different states of a system and the transitions between those states, which is ideal for verifying that the system behaves correctly as the user navigates through different screens and dialogs.

The value of static code analysis lies in its ability to detect defects early in the development process. By analyzing the code without executing it, static analysis can identify potential issues, such as coding errors or violations of coding standards, which can be addressed before they lead to more significant problems.

In state transition testing, test cases are designed to execute specific sequences of state transitions. Referring to the provided state transition diagram:

For test case (i) X-Z-V-W, the corresponding state transitions are S1 (X) → S2, S2 (Z) → S3, S3 (V) → S4, and S4 (W) → S2. Therefore, the sequence of state transitions is S1 – S2 – S3 – S4 – S2.

For test case (ii) W-Y-U-U, the corresponding state transitions are S4 (W) → S2, S2 (Y) → S4, S4 (U) → S4, and S4 (U) → S4. Therefore, the sequence of state transitions is S4 – S2 – S4 – S4 – S4.

This ensures that the transitions accurately reflect the states and paths described in the test cases.

The appropriate test execution schedule considering the prioritization and constraints should start with re-tests, followed by the regression test script. After these, tests should be run based on their priority levels:

a (Re-test defect no 52, Low priority, Re-test)

c (Re-test defect no 26, High priority, Re-test)

d (Run regression test script, Medium priority, Regression)

b (Ability to amend transaction type, High priority)

g (Reprint selected previous sales figures, High priority, Must be run after item e)

e (Print monthly sales figures, Medium priority)

i (Print year-to-date figures, Medium priority)

f (Add special invoice to previous month, Low priority)

h (Account administrator able to amend any previous month’s sales figures, Low priority)

This sequence ensures that re-tests and high-priority tasks are completed first, followed by medium-priority tasks, and then low-priority tasks.

According to the state transition table and the sequence of events, starting from state S1 and triggering events E1, E4, E5, and E7 will lead the system to state S4 with the output O4. Each event transitions the system from one state to another, producing the specified output at each step until the final state and output are reached​​.