NDLI: A Mutation/Injection-Based Automatic Framework for Evaluating Code Clone Detection Tools

Content Provider	IEEE Xplore Digital Library
Author	Roy, C.K. Cordy, J.R.
Copyright Year	2009
Abstract	In recent years many methods and tools for software clone detection have been proposed. While some work has been done on assessing and comparing performance of these tools, very little empirical evaluation has been done. In particular, accuracy measures such as precision and recall have only been roughly estimated, due both to problems in creating a validated clone benchmark against which toolscan be compared, and to the manual effort required to hand check large numbers of candidate clones. In this paper we propose an automated method for empirically evaluating clone detection tools that leverages mutation-based techniques to overcome these limitations by automatically synthesizing large numbers of known clones based on an editing theory of clone creation. Our framework is effective in measuring recall and precision of clone detection tools for various types of fine-grained clones in real systems without manual intervention.
Starting Page	157
Ending Page	166
File Size	289707
Page Count	10
File Format	PDF
ISBN	9781424443567
DOI	10.1109/ICSTW.2009.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software testing Infrared detectors clone detection Conferences Genetic mutations Cloning Humans Time measurement empirical evaluation mutation Software systems Particle measurements Software tools
Content Type	Text
Resource Type	Article

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