This contribution addresses systematic test development methods to include an algorithm to retrieve a test suite execution control in order to run test cases with high priority earlier than others. The approach uses a model that allows both the introduction of user-defined weightings for system features within the test model and an automatic calculation of the test ordering. Based on an algorit...

Effective testing can develop quality software with higher productivity at a lower cost. As the software is modified and new test cases are added to the test suite, the size of the test suite grows and the cost of testing is also increases. In order to reduce the cost of testing researcher have investigated the use of test suite reduction technique. Redundancy in test suite increases the execut...

Multi-objective test suite minimization problem is to select a set of test cases from the available test suite while optimizing the multi objectives like code coverage, cost and fault history.[1] Regression Test suite optimization is an effective technique to reduce time and cost of testing. Many researchers have used computational intelligence techniques to enhance the effectiveness of test su...

Test suite reduction aims at improving the effectiveness of testing and cutting down the test cost with the least test cases under the condition of satisfying all testing objectives. This paper proposes a new method for test suite reduction with test requirement partition. First, it gives a partition to the set of all the available test cases based on the test requirements. After that, a test s...

In the last decade, enormous progress has been made in generating test cases for coverage criteria automatically via model checking. However, many approaches suffer from generating large test suites with long test execution times. In recent work, we developed a method to generate test suites from state-based design models with the shortest test execution time satisfying a given set of coverage ...