文献综述
基于多目标特征选择的软件缺陷预测旨在使用多目标优化算法在构建缺陷预测模型前进行特征选择,以提升模型性能。本研究将特征选择问题建模成多目标优化问题,分析MULTI方法与现有特征选择方法表现的优劣。 我们将多目标优化应用于特征选择,设计相应的优化目标,分析实现实验过程中使用到的评测指标。对实验数据进行预处理,与现有的特征选择方法进行对比,分析方法的优劣。
参考文献
[1] 陈翔,顾庆,刘望舒,刘树龙,倪超.静态软件缺陷预测方法研究[J].软件学报, 2016,27(1):1-25.
[2] T. Hall, S. Beecham, D. Bowes, D. Gray, S. Counsell, A systematicliterature review on fault prediction performance in software engineering, IEEETransactions on Software Engineering 38 (6) (2012) 1276–1304.
[3] Y. Kamei, E. Shihab, Defect prediction: Accomplishments and futurechallenges, in: Proceedings of International Conference on Software Analysis,Evolution, and Reengineering, 2016, pp. 33–45.
[4] X. Yang, K. Tang, X. Yao, A learning-to-rank approach to softwaredefect prediction, IEEE Transactions on Reliability 64 (1) (2015) 234–246.
[5] M. Yan, Y. Fang, D. Lo, X. Xia, X. Zhang, File-level defectprediction: Unsupervised vs. supervised models, in: Empirical SoftwareEngineering and Measurement (ESEM), 2017 ACM/IEEE International Symposium on,IEEE, 2017, pp. 344–353.
[6] S. R. Chidamber, C. F. Kemerer, A metrics suite for object orienteddesign, IEEE Transactions on Software Engineering 20 (6) (1994) 476–493.
课题毕业论文、开题报告、任务书、外文翻译、程序设计、图纸设计等资料可联系客服协助查找。