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 :
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