Modified-multi objective firefly optimization algorithm for object oriented applications test suites optimization

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Published

30-09-2023

DOI:

https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.44

Keywords:

Firefly algorithm, Light intensity, Model-based testing, Multi-objective test suites optimization

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Issue

Vol. 14 No. 03 (2023): The Scientific Temper

Section

Research article

License

Copyright (c) 2023 The Scientific Temper

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Authors

  • Kirti Gupta Department of Computer Application and Information Technology, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India
  • Parul Goyal Department of Computer Application and Information Technology, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India

Abstract

Model-based testing is a crucial but challenging stage of the software development process. The process of model-based testing needsto be optimized, which is a difficult task. In this article, we present an approach for selecting minimum test suites that is based on themeta-heuristic firefly algorithm. We modify the firefly algorithm and define the suitable multi-objective function to optimize the testsuites. The suggested approach uses firefly behavior to address the current issue. The modified approach chooses the best test suitesthat quickly find the maximum coverage in less time.

How to Cite

Gupta, K., & Goyal, P. (2023). Modified-multi objective firefly optimization algorithm for object oriented applications test suites optimization. The Scientific Temper, 14(03), 845–851. https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.44

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