Abdul Rahman, Nor Ashila and Hassan, Rohayanti and Ahmad, Johanna and Zakaria, Noor Hidayah and Sim, Hiew Moi and Sa'adon, Nor Azizah (2022) A review on search-based mutation testing. Academia of Information Computing Research, 3 (1). pp. 1-9. ISSN 2716-6465
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Abstract
Big Data is a larger and more complex collection of datasets that exceeds the processing. In order to improve the productivity of non-testable Big Data, machine learning is able to determine various types of high volume, velocity and variety of data that need to be processed. Search-based mutation testing works by formulating the test data generation/optimization and mutant optimization problems as search problems and by applying meta-heuristic techniques to solve them. This paper aims to present the researches carried out in mutation testing particularly in search-based approaches. 205 papers were reviewed and analyzed from 2014-2018. This paper later on proceeds to elaborate on SBMT functions, First and Higher Order Mutant as well as multi-objective optimization.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Mutation Testing, Search-Based, First Order Mutant, Higher Order Mutant, Multi-objective |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 104738 |
| Deposited By: | Widya Wahid |
| Deposited On: | 25 Feb 2024 04:53 |
| Last Modified: | 25 Feb 2024 04:53 |
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