학술저널
면역 알고리즘 기반의 서포트 벡터 회귀를 이용한 소프트웨어 신뢰도 추정
Estimation of Software Reliability with Immune Algorithm and Support Vector Regression
- 한국IT서비스학회
- 한국IT서비스학회지
- 한국IT서비스학회지 제8권 제4호
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2009.12129 - 140 (12 pages)
- 21
The accurate estimation of software reliability is important to a successful development in software engineering. Until recent days, the models using regression analysis based on statistical algorithm and machine learning method have been used. However, this paper estimates the software reliability using support vector regression, a sort of machine learning technique. Also, it finds the best set of optimized parameters applying immune algorithm, changing the number of generations, memory cells, and allele. The proposed IA-SVR model outperforms some recent results reported in the literature.
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