Modified-multi objective firefly optimization algorithm for object oriented applications test suites optimization
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.3.44Keywords:
Firefly algorithm, Light intensity, Model-based testing, Multi-objective test suites optimizationDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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.Abstract
How to Cite
Downloads
Similar Articles
- JOSHI GK, INDUSTRIAL IMPORTANCE OF HALOPHILIC BACTERIA , The Scientific Temper: Vol. 2 No. 1&2 (2011): The Scientific Temper
- Amresh Kumar Singh, Manjit Singh Chhetri, Pushyamitra Mishra, Toughness and Ductile Brittle Transition Temperature of Different Mineral Filler Reinforced TPOs Composites , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Swetha Rajkumar, Subasree Palanisamy, Online detection and diagnosis of sensor faults for a non-linear system , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- N Sasirekha, Jayakumar Karuppaiah, Yuvaraja Thangavel, KG Parthiban , Classification of mammograms by breast density , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, Vishnu Patidar, Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- R. A. Askerov, The role of improving the business environment in agriculture in ensuring the country’s food security , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Anand Mishra, Manish Kumar Dube, Harnam Singh Lodhi, Ambrina Sardar Khan, Studies on behavior and morphological changes in freshwater fish, Channa punctatus, under the exposure of untreated sewage water , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- Manoj Kumar, A.K. Srivastava, Bioaccumulation of Heavy Metals in Some Tissues of Fish, Clarias batrachus Exposed to Sub-lethal Concentration of Nickel Sulphate and Potassium Dichromate , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Pankaj Bahuguna, Sapna ., Rajesh Rayal, Neelam Shah, N.C. Khanduri, Sexual Maturity of an Ornamental Himalayan Foot-hill Region Fish Barilius barna as Determined by Dobriyal Index and Gonado-somatic Index , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Ahmed Mustefa, Efficacy of coffee farmers’ cooperatives in Gimbo Woreda, Kafa Zone, Ethiopia , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
<< < 43 44 45 46 47 48 49 50 51 52 > >>
You may also start an advanced similarity search for this article.
