NDLI: Duals in Spectral Fault Localization

Content Provider	IEEE Xplore Digital Library
Author	Naish, L. Hua Jie Lee
Copyright Year	2013
Description	Author affiliation: Dolby Labs., Sydney, NSW, Australia (Hua Jie Lee) \|\| Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia (Naish, L.)
Abstract	Numerous set similarity metrics have been used for ranking "suspiciousness" of code in spectral fault localization, which uses execution profiles of passed and failed test cases to help locate bugs. Research in data mining has identified several forms of possibly desirable symmetry in similarity metrics. Here we define several forms of "duals" of metrics, based on these forms of symmetries. Use of these duals, plus some other slight modifications, leads to several new similarity metrics. We show that versions of several previously proposed metrics are optimal, or nearly optimal, for locating single bugs. We also show that a form of duality exists between locating single bugs and locating "deterministic" bugs (execution of which always results in test case failure). Duals of the various single bug optimal metrics are optimal for locating such bugs. This more theoretical work leads to a conjecture about how different metrics could be chosen for different stages of software development.
Starting Page	51
Ending Page	59
File Size	192517
Page Count	9
File Format	PDF
ISBN	9780769549958
ISSN	15300803
DOI	10.1109/ASWEC.2013.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-04
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Computer bugs Software Data mining Vectors Benchmark testing Australia set similarity program spectra fault localization debugging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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