舰船电子工程2025，Vol.45Issue(1)：158-162,5.DOI:10.3969/j.issn.1672-9730.2025.01.031
基于主成分分析的任务规划系统软件缺陷预测方法
Research on Mission Planning Software Defect Prediction Algorithm Based on Principal Components Analysis
摘要
Abstract
Software defect prediction technology can be used to predict the existence of software defects and to direct the soft-ware testing process.It is very important to improve the software performance and quality.Based on the fault information of software testing accumulated during development,the software functional modules and fault impact level are classified.Then the main reason of software defect modules are found though principal component analysis(PCA),which can provide guidance for the software test-ing.关键词
任务规划系统/软件缺陷/主成分分析/缺陷预测Key words
mission planning software/faults/PCA/defect prediction分类
信息技术与安全科学引用本文复制引用
孙文川,庄锦程,吴延军,刘磊..基于主成分分析的任务规划系统软件缺陷预测方法[J].舰船电子工程,2025,45(1):158-162,5.
