NDLI: Statistical software debugging: From bug predictors to the main causes of failure

Content Provider	IEEE Xplore Digital Library
Author	Parsa, S. Vahidi-Asl, M. Naree, S.A. Minaei-Bidgoli, B.
Copyright Year	2009
Description	Author affiliation: Faculty of computer engineering, Iran University of Science and Technology, Tehran, Iran (Parsa, S.; Vahidi-Asl, M.; Naree, S.A.; Minaei-Bidgoli, B.)
Abstract	Detecting latent errors is a key challenging issue in the software testing process. Latent errors could be best detected by bug predictors. A bug predictor manifests the effect of a bug on the program execution state. The aim has been to find the smallest reasonable subset of the bug predictors, manifesting all possible bugs within a program. In this paper, a new algorithm for finding the smallest subset of bug predictors is presented. The algorithm, firstly, applies a LASSO method to detect program predicates which have relatively higher effect on the termination status of the program. Then, a ridge regression method is applied to select a subset of the detected predicates as independent representatives of all the program predicates. Program control and data dependency graphs can be best applied to find the causes of bugs represented by the selected bug predictors. Our proposed approach has been evaluated on two well-known test suites. The experimental results demonstrate the effectiveness and accuracy of the proposed approach
Starting Page	802
Ending Page	807
File Size	459799
Page Count	6
File Format	PDF
ISBN	9781424444564
DOI	10.1109/ICADIWT.2009.5273934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-04
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Runtime Statistical analysis Instruments Computer bugs Decision making Computer errors Programming Software measurement Software debugging Testing
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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