The impact of test case reduction and prioritization on software testing effectiveness

Abstract

Software testing is critical but most expensive phase of Software Development Life Cycle (SDLC). Development organizations desire to thoroughly test the software. But this exhaustive testing is impractical due to resource constraints. A large number of test suites are generated using automated tools. But the real challenge is the selection of subset of test cases and/or high order test cases crucial to validate the System Under Test (SUT). Test case reduction and prioritization techniques help test manager to solve this problem at a little cost. In this paper, we investigate their impact on testing process effectiveness using previous empirical studies. The results indicate that these techniques improve the testing effectiveness significantly. At the end, a case study is presented that suggests different useful combinations of these techniques, which are helpful for different testing scenarios.