NDLI: Natural Language Processing Based Detection of Duplicate Defect Patterns

Content Provider	IEEE Xplore Digital Library
Author	Qian Wu Qianxiang Wang
Copyright Year	2010
Abstract	A Defect pattern repository collects different kinds of defect patterns, which are general descriptions of the characteristics of commonly occurring software code defects. Defect patterns can be widely used by programmers, static defect analysis tools, and even runtime verification. Following the idea of web 2.0, defect pattern repositories allow these users to submit defect patterns they found. However, submission of duplicate patterns would lead to a redundancy in the repository. This paper introduces an approach to suggest potential duplicates based on natural language processing. Our approach first computes field similarities based on Vector Space Model, and then employs Information Entropy to determine the field importance, and next combines the field similarities to form the final defect pattern similarity. Two strategies are introduced to make our approach adaptive to special situations. Finally, groups of duplicates are obtained by adopting Hierarchical Clustering. Evaluation indicates that our approach could detect most of the actual duplicates (72% in our experiment) in the repository.
Starting Page	220
Ending Page	225
File Size	441798
Page Count	6
File Format	PDF
ISBN	9781424480890
e-ISBN	9780769541051
DOI	10.1109/COMPSACW.2010.45
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-19
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural Language Processing Duplicate Information Retrieval Defect Pattern
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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