Deriving thresholds of software metrics to predict faults on open source software: Replicated case studies
作者：
Highlights：
• We empirically examined if there are effective thresholds for software metrics.
• Open-source software systems were used as benchmarking datasets.
• The learner model was created using logistic regression and the Bender method.
• Experimental results revealed that some metrics have effective threshold values.
摘要
•We empirically examined if there are effective thresholds for software metrics.•Open-source software systems were used as benchmarking datasets.•The learner model was created using logistic regression and the Bender method.•Experimental results revealed that some metrics have effective threshold values.
论文关键词：Machine learning,Software quality metrics,Threshold,Software fault prediction,Logistic regression,Bender method
论文评审过程：Received 10 January 2016, Revised 9 April 2016, Available online 11 May 2016, Version of Record 25 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.05.018
