Software Test Suite Minimization using Ant Colony Optimization
Akanksha Gaur1, Mohammad Arif2
1Akanksha Gaur, Department of Computer Science and Engineering, Integral University, Lucknow, India.
2Mohammad Arif, Department of Computer Science and Engineering, Integral University, Lucknow, India.
Manuscript received on 08 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript Published on 26 August 2019 | PP: 948-952 | Volume-8 Issue-9S August 2019 | Retrieval Number: I11540789S19/19©BEIESP | DOI: 10.35940/ijitee.I1154.0789S19
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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 the fast pacing technological era, the key to a successful software industry is quick delivery of high quality software to the clients. This high quality is achieved by performing software testing on the product. The high quality product ensures stakeholder’s satisfaction which in turn spreads good word about the software industry making it a success. In this paper, we will focus on the problems faced during regression testing and how the same can be handled. Regression testing is a critical activity done during the software maintenance phase of the software development cycle. However, it has countless underlying issues like effective test case generation and prioritization, etc which need to be dealt with. These issues demand effort, time and cost of the testing. Different techniques and methodologies have been proposed for taking care of these issues. Use of Ant Colony Optimization (ACO) for test suite minimization has been an area of interest for many researchers. This paper presents an implementation of ACO for test suite minimization, showcasing how arbitrary nature of ACO helps choose an optimal solution to the problem.
Keywords: Analysis, Ant Colony Optimization, Software Testing, Test Suite Minimization.
Scope of the Article: Computer Science and Its Applications