What are the best ways to determine when testing is complete?

Once we have finish the test execution across different testing levels - Component testing - Integration testing - System testing - User acceptance testing Test completion is as Test summary report Change requests / backlog items Action items for improvements And in the end finalized Testware Testware such as Test report , Test records, test cases, test plan etc. So these all should be validate for test completion.

Considering the Number of Test Cycles The test cycles can be a useful tool in determining when testing is finished. If you've gone through several iterations of testing and the number of problems is steadily reducing, it could indicate that testing is nearly concluded. With each cycle, you want to increase the software's quality and stability, which is an important indicator that testing is nearing completion.

First identify what is the nature of application, who is the end use. Prepare the test plan to define your goal of testing. -What is the requested change. -When it needs to be deployed. -How many test scenarios and test cases need to be covered. -How many team members need to be involved based on number of scenarios and time line. - What not to test in this change.

This is the hardest part from QA perspective, when to stop testing? In actual there is no hard core rule for exit criteria of the testing activity. But we can say that if below points are followed that should be sufficient to decide the exit criteria: 1) All requested change in feature is tested and passed. 2) All Critical or Major issues are fixed and closed. 3) No major issue found during the Regression. 4) Defect count either not increasing in subsequent run cycles or no defect found. 5) Testing budget is exhausted.

If the conditions are not driven by boolean logic or deterministic functions, then the results may not be repeatable. Keep that in mind when preparing your exit criteria, for example when measuring ranges of time or quantities of data.

First you should have clear understaing that you have to perform functional or non functional or both testing. 1) Functional: Functional testing you can divide into - GUI testing - Database testing - API testing 2) Non functional: Below testing will be included as a part of non functional. - Load testing - Security testing - Performance testing.

Test code is composed of assertions. Assertions come in different flavors: native assertions in a programming language, libraries which include user defined functions that assert specific conditions, frameworks which allow users to create custom assertions, and testing applications which wrap frameworks in a graphical user interface (GUI).

Security, identity, and financial risks are always the most important, so they should always be at the top of the list when it comes to prioritization and reprioritization whether or not it occurs on an hourly, daily, or weekly basis.

Report your testing results to all the stakeholders. You report should be very precise and informative so that stakeholders can be sure about the health of the requested changes. Send invite and show them the result and note down there feedback for necessary changes.

The simplest way to seek feedback is through an invitation sent to new members, anonymous users, or previous survey respondents. This can be solicited via the website, the mobile app, the desktop app, email, text message, or in-video links

Be sure to review the comprehensiveness of the test suite, since a 100% success rate for a single test does not mean much. The test cases should reflect all the business logic, and be comprehensive enough to cover positive, negative, and impossible use cases.

Using inline assertions along with risk-based testing can quickly determine whether or not testing is complete. This type of test runs in production code, and its failure means something which should never happen has. For example, if you always expect a positive integer, write an assertion for that in the production code which checks the integer value. If that test fails in production, you know your input validation code is insufficient.