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Using Pattern Position Distribution for Software Failure Detection

Li, Chunping, Chen, Ziniu, Du, Hao, Wang, Hui, Wilkie, George, Augusto, Juan Carlos and Liu, Jun (2013) Using Pattern Position Distribution for Software Failure Detection. International Journal of Computational Intelligence Systems, 6 (2). pp. 234-243. [Journal article]

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URL: http://dx.doi.org/10.1080/18756891.2013.768442

DOI: 10.1080/18756891.2013.768442

Abstract

We present a novel approach for using the pattern position distribution as features to detect software failure. In this approach, we divide an execution sequence into several sections and compute the pattern distribution in each section. The distribution of all patterns is then used as features to train a classifier. This approach outperforms conventional frequency based methods by more effectively identifying software failures occurring through misused software patterns. Comparative experiments show the effectiveness of our approach.

Item Type:Journal article
Keywords:Sequential Patterns, Classification Algorithm, Software Failure, Anomaly Detection
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:27000
Deposited By: Dr George Wilkie
Deposited On:16 Sep 2013 09:18
Last Modified:16 Sep 2013 09:18

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