AVISAR – An Automated Framework for Test Case Selection & Prioritization using GA for OOS
Prashant Vats1, Manju Mandot2
1Prof. Manju Mandot, Professor and Director of Directorate of Jan Shikshan and Extension, J.R.N. Rajasthan Vidyapeeth (Deemed University).
2Mr. Prashant Vats, Ph.D. in CSE from Banas anasthali Vidyapith, Rajasthan.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on April 10, 2020. | PP: 1556-1563 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4570049620/2020©BEIESP | DOI: 10.35940/ijitee.F4570.049620
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© 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 this paper we have presented an automated unified approach called AVISAR for the testing of the Object-oriented Systems (OOS) by Test Case Prioritization (TCP) & their selection using Genetic Algorithm for the OOS. The testing of OOS has become a more challenging task as nowadays it has been widely accepted as a paradigm for large-scale system designing. In this research paper we have also studied the Genetic algorithms in relation to their applications for providing solutions to the various aspects of the OO Testing. As a result after implementing the tool AVISAR using GA’s it has proven to be useful in providing effective solutions to resolve the issues related to the OO Testing domain. Thus it can be used for reducing the efforts of the users for testing by efficient selection of effective test cases.
Keywords: Object Oriented Testing, Genetic Algorithm (GA), Fitness Function, Test Case Prioritization (TCP), Jenetics.