Evaluating Defect Prediction using a Massive Set of Metrics

• Main Authors: XUAN, Xiao, David LO, XIA, Xin, TIAN, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Defect Prediction; Evaluation Metric; Machine Learning; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3081; https://ink.library.smu.edu.sg/context/sis_research/article/4081/viewcontent/Defect_prediction_metrics_xuan_2015_afv.pdf
• Institution: Singapore Management University

To evaluate the performance of a within-project defect prediction approach, people normally use precision, recall, and F-measure scores. However, in machine learning literature, there are a large number of evaluation metrics to evaluate the performance of an algorithm, (e.g., Matthews Correlation Co...