Clustering Based Test Suite Selection for Ranking of Program Execution Sequence Using Improved Precision in Regression Testing
B. Bhaskar Kumar Rao1, R. Vasanth Kumar Mehta2, B. Narendra Kumar Rao3
1Mr. B. Bhaskar Kumar Rao, Assistant Professor, Department of Information Technology, Sree Vidyanikethan Engineering College, Tirupati (Andhra Pradesh), India.
2Dr. R. Vasanth Kumar Mehta, Associate Professor, Department of CSE at SCSVMV, Kanchipuram (Tamil Nadu), India.
3Dr. B. Narendra Kumar Rao, Department of Computer Science and Engineering from University of Madras.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 773-780 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5724058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Software development, Testing plays an important role. Testing becomes tedious with increase in no of test cases. Test Suite size increases and it becomes difficulty with redundant test cases and faulty test cases. Localization of fault is the process of isolating faulty location of program during its execution. Current approach uses the comparison of a successful run test case with a failed run test case spectrum for identification of faults. Along with above specified approach, criteria of program cohesion and program history are also used in effective localization of faulty components. The results suggest better performance when compared with other scenarios.
Keyword: Fault Localization, Regression testing, Test case Selection, Inclusiveness, Precision
Scope of the Article: Clustering