Test Path Optimization Algorithm Compared with GA Based Approach

摘要

Software testing performs a vital and basic role in developing software that is freedom from bugs and defects. Various levels of testing use Unified modeling language (UML) to design the tests. The test case generation from design specification is an essential work in testing phase. In recent trend, Model-Based testing approach attracts many researchers by using some search optimization techniques to produce an automated optimal test path. The best test path is got more beneficial than the other generated test paths because it can reduce time and cost more than others. In this paper, we compare and analysis different methodologies of model based best test path generation by using the UML activity diagram. We discuss the results the resulting test paths with respect to correctness and time consuming.