Effective Study Techniques for the ISTQB CTFL-Foundation Exam

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​​.

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​​.

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​​.

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​​.

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​​ .

The amount of testing effort is highly influenced by the predicted number of defects and the subsequent amount of rework required. If a high number of defects are expected, more effort will be needed to identify, document, and retest the defects after they are fixed. This impacts the overall testing workload significantly compared to other factors such as the ratio of developers to testers, which affects team dynamics but not the core testing effort​​.

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​​.

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 ondifferent inputs) are adequately tested. This combination provides thorough coverage of both the internal logic and the functional requirements of the system​​.

Static analysis tools are designed to analyze code without executing it. They are particularly good at finding defects related to code structure, such as variables that are not used or improperly declared. These tools can parse the code and identify issues that may not be easily detected through dynamic testing methods. Other issues like omission of a major requirement (A), inadequate decision coverage (B), and component memory leakage (C) are typically found through dynamic testing or higher-level verification techniques​​ .

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, teste(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, testa(log in as standard user and create customer account) creates the standard user needed for subsequent actions. Then, the highest priority testd(order twoitems or more), which has failed before, should be executed next, followed by testc(create invoice for order), and finally testb(order one item)​​.