A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s10836-023-06070-x.pdf
Reference37 articles.
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2. Aghdam ZK, Arasteh B (2017) An efficient method to generate test data for software structural testing using artificial bee colony optimization algorithm. Int J Software Eng Knowl Eng 27(6):2017
3. Arasteh B, Hosseini SMJ (2022) Traxtor: An Automatic Software Test Suit Generation Method Inspired by Imperialist Competitive Optimization Algorithms. J Electron Test. https://doi.org/10.1007/s10836-022-05999-9
4. Arasteh B, Imanzadeh P, Arasteh K et al (2022) A Source-code Aware Method for Software Mutation Testing Using Artificial Bee Colony Algorithm. J Electron Test 38:289–302. https://doi.org/10.1007/s10836-022-06008-9
5. Arasteh B (2019) ReDup: A software-based method for detecting soft-error using data analysis. Comp Electrical Eng 78(September 2019):89–107
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