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- Title
Efficient Prediction Method of Defect of Monitor Configuration Software.
- Authors
Yan Wang
- Abstract
In order to solve the problem of low efficiency in software operation, we need to research the defect prediction of monitoring configuration software. The current method has the low efficiency in the defect prediction of software. Therefore, this paper proposed the software defect prediction method based on genetic optimization support vector machines. This method carried out feature selection for the measure of complexity of software, and built software defect prediction model of genetic optimized support vector machine, and completed the research on the efficient prediction method of software defects. Experimental results show that the proposed method improves the quality of software effectively.
- Subjects
DEFECT tracking (Computer software development); FEATURE selection; SUPPORT vector machines; COMPUTER defects; COMPUTER software development; PREDICTION models
- Publication
Journal of Advanced Computational Intelligence & Intelligent Informatics, 2019, Vol 23, Issue 2, p340
- ISSN
1343-0130
- Publication type
Article
- DOI
10.20965/jaciii.2019.p0340