Test Case Prioritization & Selection for an Object Oriented Software using Genetic Algorithm.
Prashant Vats1, Manju Mandot2, Saurabh Mukherjee3, Neelam Sharma4

1Prashant Vats*, AIMACT, Banasthali Vidyapith, Rajasthan, India.
2Manju Mandot, J.R.N. Rajasthan Vidyapith, Udaipur, Rajasthan, India.
3Saurabh Mukharjee, AIMACT, Banasthali Vidyapith, Rajasthan, India. Email: mukherjee.
4Neelam Sharma, AIMACT, Banasthali Vidyapith, Rajasthan, India.

Manuscript received on April 05, 2020. | Revised Manuscript received on April 17, 2020. | Manuscript published on April 30, 2020. | PP: 349-354 | Volume-9 Issue-4, April 2020. | Retrieval Number:  C6639029320/2020©BEIESP | DOI: 10.35940/ijeat.C6639.049420
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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 our aim is to propose a Test Case Selection and Prioritization technique for OOP for ordering the test cases as per in accordance with their priority for finding the faults in the OOS. We have used the heuristic Genetic Algorithm, in order to generating the order of these prioritized test cases for a given OOS. The motive is to put a test case first into the ordered sequence that may have the highest prospective of finding an error in the given OOS & then soon.
Keywords: Test Case Selection, Test case prioritization, Genetic Algorithm, Fitness function, Object Oriented Software.