Interview Questions For Qa Engineer – Top 10 QA Interview Questions * Important questions that top QA engineers can answer. From our community, we invite experts to ask questions and get feedback Hire the best QA Engineer now
Software Quality Assurance (SQA) refers to all the activities and procedures that guide the software development process. Its purpose is to minimize the risk of errors and defects in the final product. This is done through design, implementation and maintenance that help developers and software developers do their jobs most effectively.
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Software quality control (SQC), unlike SQA, is purely product-oriented. The purpose of SQC is to perform testing activities on the final product to ensure that the developed product meets the customer’s needs and expectations.
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You have an input field that accepts an integer. The correct input is a positive two-digit integer. Equivalent distributions and boundary values provide test cases for analysis techniques.
Often in QA, it is not possible to test all possible test cases in all scenarios. If a positive two-digit integer is entered, there are 90 test cases and many more invalid test cases. In such cases, we need a better way to select test cases while covering all scenarios.
Equivalent partition testing is a software testing technique that divides test data so that a single input from an entire partition performs the same task under test. For example queries, we can create four categories:
Boundary analysis is a software testing technique that uses extreme values or boundaries between categories as input to test cases.
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The main part of the exam is to check the results. In test automation, for each test case, we run the test to ensure that we are getting the correct result.
Validate and validate command groups by verifying the correctness of given conditions. The difference is if the condition is false and the check fails. If the trust command is not met, the following code will not be executed and the test will stop immediately. On the other hand, if the check command is not executed, the code will continue with execution.
We use the assert command when the code that follows depends on their success. For example, we want to work only when we are logged in as an admin user on the page. In this case, we assert that the currently logged-in user is equivalent to the admin user, and the test code will only be executed if that condition is met, otherwise there’s no point, because we know we’re testing in the wrong environment. .
We use the test command to run the code after a condition is met. For example, checking the name of a web page: we want to make sure that the name of the page is as expected and we record the result of the check command. A wrong name alone will not affect the checked objects.
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Inspection and verification are two key terms of quality assurance that are often confused. When it comes to making the right solution work properly, we can ask ourselves two questions:
First, we will make sure that the system we build works and has the necessary components as per the specified requirements. This process is called verification. Then, at the end of the software development process, we will do our best to ensure that the system meets the needs and expectations of the end user, which we call validation.
Both inspection and verification are important in the QA process, as both allow you to detect defects in different ways. Auditing identifies deficiencies in specification documentation, while audits identify weaknesses in program implementation.
What is the difference between intensity and choice? Give examples of high-severity and low-severity problems.
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Severity and priority of the problem are important for proper management. Severity indicates the seriousness of the problem, priority indicates how quickly the problem should be resolved.
Severity is a characteristic that is defined precisely because of how it affects end users. Severity is low if the end user can interact with the application normally and does not interfere with normal use of the application. But if the end user encounters crashes or similar issues while using the app, the weight increases.
Specific requirements are determined by the responsible person’s individual judgment. Typically, benefits increase as the problem reaches the end user.
Test automation has many advantages and test cases should be automated whenever possible and necessary. However, there are some situations where test automation is not preferable and manual testing is better:
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An RTM is a document that shows the relationship between test cases (written by a QA engineer) and business/technical requirements (specified by the client or development team.) The main idea of an RTM is to ensure that all requirements are met. . In the test case, this ensures that no functionality is tested.
Using RTM, we can validate business and technical requirements through 100 percent testing, as well as a clear view of defects and performance status. This must indicate missing requirements and/or inconsistencies in the documentation.
RTM provides a deep understanding of QA work and its impact on QA engineers through test cases and refactoring them.
In theory, for some products and cases, testing activities may take too many resources and may be impossible or impossible. In order to have a proper QA process—so that we can confidently conclude that the product is ready for users—we need to be able to tell when testing is complete.
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Here we use the Release Criteria document, which specifies conditions that must be met before a product can be released. Exit criteria are defined during the test planning phase and allow QA managers and test engineers to create an efficient and effective QA process that meets predetermined conditions, thus ensuring that the built system meets requirements and is delivered on time. .
Exclusion criteria may include: test case coverage, remaining issues by priority and/or severity, feature coverage, timeline, business requirements, etc.
From the example we see that exit criteria should be strict but reasonable. It may not be realistic to expect that 100 percent of all tests will always pass, but we want to ensure that there are no critical failures that cause the system to fail or the user to be unable to use the system. Expected behavior.
For the following code fragment, determine the minimum number of test cases required to cover a complete statement, branch, and path:
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To fully cover the number of 100 percent test cases, we need to find the shortest paths where all nodes are located. If we follow the path 1-A-2-C-3-E-4-F-G-5-I-6-J, we will cover all nodes (1-2-3-4-5-6), so All comments in the code for a single test case are satisfactory. However, since the two statements (nodes 2 and 5) collide, a test case does not work for the code. To fully cover all comments, we will need two test cases:
, contains all possible true and false statements. Using the same two paths, we can cover the entire branch. The only branch that does not cover these two paths is the “D” branch, which requires an additional path to the two we mentioned earlier. So our three tests include these lines:
Path coverage ensures that all possible paths are covered within the code. Given the attentional constraints (X > 0 and X < 0), these are all possible paths:
When a QA engineer creates a bug ticket, that ticket checks the sequence of conditions shown in the diagram and is generated before closing. If the resolution is incorrect, the ticket may be open for reset or closure.
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Since opening, what is the number of 0-switch transitions and the number of 1-switch transitions allowed?
State transition testing is a black box testing technique where a change in the input state results in a change in the state of the test application. The amount of transitions from state 0 is equal to the amount of transition 1 starting from that state. From the diagram we can see the possible transformation of the opening:
From state 1, transition coverage is equal to all transitions of length 2 starting from the original state. From the 0-switch transitions and the circuit information, we can show a possible 1-switch
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