DocumentCode :
1995985
Title :
Clustering and Metrics Thresholds Based Software Fault Prediction of Unlabeled Program Modules
Author :
Catal, Cagatay ; Sevim, Ugur ; Diri, Banu
Author_Institution :
Marmara Res. Center, Inf. Technol. Inst., Kocaeli
fYear :
2009
fDate :
27-29 April 2009
Firstpage :
199
Lastpage :
204
Abstract :
Predicting the fault-proneness of program modules when the fault labels for modules are unavailable is a practical problem frequently encountered in the software industry. Because fault data belonging to previous software version is not available, supervised learning approaches can not be applied, leading to the need for new methods, tools, or techniques. In this study, we propose a clustering and metrics thresholds based software fault prediction approach for this challenging problem and explore it on three datasets, collected from a Turkish white-goods manufacturer developing embedded controller software. Experiments reveal that unsupervised software fault prediction can be automated and reasonable results can be produced with techniques based on metrics thresholds and clustering. The results of this study demonstrate the effectiveness of metrics thresholds and show that the standalone application of metrics thresholds (one-stage) is currently easier than the clustering and metrics thresholds based (two-stage) approach because the selection of cluster number is performed heuristically in this clustering based method.
Keywords :
pattern clustering; software fault tolerance; software metrics; clustering threshold; metrics threshold; software fault prediction; software industry; software version; unlabeled program module; Application software; Computer industry; Embedded software; Humans; Information technology; Machine learning; Manufacturing; Predictive models; Software tools; Supervised learning; clustering; metrics thresholds; software fault prediction; unlabeled program modules; unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-3770-2
Electronic_ISBN :
978-0-7695-3596-8
Type :
conf
DOI :
10.1109/ITNG.2009.12
Filename :
5070617
Link To Document :
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