NDLI: Finding suspicious patterns of object-oriented programs based on variance analysis

Content Provider	IEEE Xplore Digital Library
Author	Xuemei Liu Yongpo Liu Ji Wu Xiaoxia Jia
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Technology, BUAA, Beijing, China (Ji Wu; Xiaoxia Jia) \|\| Beijing City University, China (Xuemei Liu) \|\| College of Software, Beijing University of Technology, China (Yongpo Liu)
Abstract	Several variance analysis methods that are used in fault localization based on program behaviors were analyzed and compared. None of these methods takes into account the features of object-oriented programs, thus, could not be used accurately in fault localization in object-oriented programs. The present study proposed that when doing variance analysis, object behaviors could be described by using the object life behavior model; then a behavior model of the object-oriented program was constructed based on the model; the similarity of program behaviors was described by using the sequence pattern. Based on the variance analysis of program behaviors, the method of finding suspicious patterns of object-oriented programs was proposed. The model of finding suspicious patterns was also constructed. This model consisted of preparing data, extracting patterns, and finding suspicious patterns. The standard for pattern extracting was defined and the mining algorithms of finding patterns were also described. At last, the method of finding suspicious patterns based on variance analysis and its implementation procedure were depicted in detail. This method has been used in the research of fault localization and has been very effective. This work is supported by the National Natural Science Foundation of China under grant No. 60603039.
Starting Page	2815
Ending Page	2820
File Size	287912
Page Count	6
File Format	PDF
ISBN	9781424459315
e-ISBN	9781424459346
DOI	10.1109/FSKD.2010.5569241
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Analytical models life behavior model Object oriented modeling fault localization Feature extraction Cognition variance analysis suspicious pattern Data mining Analysis of variance sequence pattern
Content Type	Text
Resource Type	Article

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