publication . Article . 2011

A General Software Defect-Proneness Prediction Framework

Song, Q; Jia, Z; Shepperd, M; Ying, S; Liu, J;
Open Access
  • Published: 01 Jan 2011 Journal: IEEE Transactions on Software Engineering, volume 37, pages 356-370 (issn: 0098-5589, Copyright policy)
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • Country: United Kingdom
Abstract
This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. BACKGROUND - Predicting defect-prone software components is an economically important activity and so has received a good deal of attention. However, making sense of the many, and sometimes seemingly in...
Subjects
free text keywords: Software defect prediction, Software defect-proneness prediction, Scheme evaluation, Software, Machine learning, computer.software_genre, computer, Data set, Data modeling, Computer science, Prediction algorithms, business.industry, business, Software fault tolerance, Component-based software engineering, Data mining, Software bug, Training set, Artificial intelligence
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publication . Article . 2011

A General Software Defect-Proneness Prediction Framework

Song, Q; Jia, Z; Shepperd, M; Ying, S; Liu, J;