Computational Science and Techniques

The current paper illustrates the importance of clustering the frequent items of code coverage during test suite reduction. A modular Most maximal frequent sequence clustered algorithm has been used along with a Requirement residue based test case reduction process. DU-pairs form the basic code coverage requirement under consideration for test suite reduction. This algorithm farewell when compared with few other algorithms like Harrold Gupta and Soffa (HGS) and Bi-Objective Greedy (BOG) algorithms and Greedy algorithms in covering all the DU-Pairs. The coverage criteria achieved is 100% in many cases, except for few insufficient and incomplete test suites.