Parallelized ACO algorithm for regression testing prioritization in hadoop framework
Nandhini Elanthiraiyan, Chamundeswari Arumugam · 2014
Regression testing is an important strategy in the software maintenance phase to produce a high quality software product. This testing ensures that the modified system code does not have an effect on the original software system. Initially, the test suite is generated for the existing software system. After the system undergoes changes the test suite contains both the original test cases and the modified test cases. Regression test prioritization method helps to separate the optimal test cases from the modified test suite. In the existing work, the multi-criteria optimization was applied for generating optimal regression test cases and it was carried out in a non-parallelized environment. The proposed solution is to extend the existing work by generating an optimized test suite using Ant Colony Optimization (ACO) technique on Hadoop Map reduce framework in a parallelized environment.