DocumentCode
1862350
Title
An Empirical Comparison of Fault-Prone Module Detection Approaches: Complexity Metrics and Text Feature Metrics
Author
Mizuno, Osamu ; Hata, Hideaki
Author_Institution
Grad. Sch. of Sci. & Technol., Kyoto Inst. of Technol., Kyoto, Japan
fYear
2010
fDate
19-23 July 2010
Firstpage
248
Lastpage
249
Abstract
In order to assure the quality of software product, early detection of fault-prone products is necessary. Fault-prone module detection is one of the major and traditional area of software engineering. However, comparative study using the fair environment rarely conducted so far because there is little data publicly available. This paper tries to conduct a comparative study of fault-prone module detection approaches.
Keywords
software fault tolerance; software metrics; complexity metrics; fault-prone module detection; software engineering; text feature metrics; Accuracy; Bayesian methods; Complexity theory; Data mining; Feature extraction; Measurement; Training; Fault-prone module; software metrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Software and Applications Conference (COMPSAC), 2010 IEEE 34th Annual
Conference_Location
Seoul
ISSN
0730-3157
Print_ISBN
978-1-4244-7512-4
Electronic_ISBN
0730-3157
Type
conf
DOI
10.1109/COMPSAC.2010.30
Filename
5676267
Link To Document