Title :
Research on software defect prediction based on data mining
Author :
Chen, Yuan ; Shen, Xiang-heng ; Du, Peng ; Ge, Bing
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Abstract :
As the development of computer technology, software system becomes more and more complicated. Because of human´s ability limit, there must be a lot of defects generated in the software development life cycle. This paper reviewed the state of art in the field of software defect management and prediction, and presented data mining technology briefly. Finally, proposed an ideal software defect management and prediction system, researched and analyzed several software defect prediction methods based on data mining techniques and specific models (Bayesian Network and PRM). With this system, we can efficiently draw up some prevention and solution scheme to guide the development of new software.
Keywords :
belief networks; data mining; software reliability; Bayesian network; PRM; data mining technology; software defect management; software defect prediction; software development life cycle; Data mining; Physics; Predictive models; Programming; Quality management; Software development management; Software quality; Software systems; Software testing; Technology management; Bayesian Network; Data Mining; Probabilistic Relational Model (PRM); Software Defect Management; Software Defect Prediction;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451355