Autospearman: Automatically mitigating correlated software metrics for interpreting defect models

• Main Authors: JIARPAKDEE, Jirayus, TANTITHAMTHAVORN, Chakkrit, TREUDE, Christoph
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Correlated Metrics; Defect Prediction; Feature Selection; Model Interpretation; Software Analytics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8829; https://ink.library.smu.edu.sg/context/sis_research/article/9832/viewcontent/icsme18a.pdf
• Institution: Singapore Management University

The interpretation of defect models heavily relies on software metrics that are used to construct them. However, such software metrics are often correlated in defect models. Prior work often uses feature selection techniques to remove correlated metrics in order to improve the performance of defect...