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- W4296121372 abstract "Testing is crucial in delivering a bug-free application to the client. Retesting the application whether there is a modification in different functionalities of the application when there is a code change is called regression testing. It is discovered to be expensive as it should be introduced after every code change. Among the numerous strategies existing for regression testing, reordering the test cases through prioritization and just the low prioritized test cases are ignored without executing which saves cost and time. The fault detection rate is found to be more for search-based techniques that apply genetic algorithms. Multi-objective search-based prioritization was proved for its better performance when compared to the single objective genetic algorithms. Hence, this paper reviews and analyzes the multi-objective search algorithms, and it is subjected to improvements. The review proves that genetic algorithms when integrated along with an efficient approach yield a better result compared to other prioritization algorithms." @default.
- W4296121372 created "2022-09-17" @default.
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- W4296121372 date "2022-09-16" @default.
- W4296121372 modified "2023-10-18" @default.
- W4296121372 title "An Overview of Efficient Regression Testing Prioritization Techniques Based on Genetic Algorithm" @default.
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- W4296121372 doi "https://doi.org/10.1007/978-981-19-4052-1_39" @default.
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