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On the need for human-based empirical validation of techniques and tools for code clone analysis

Published: 23 May 2011 Publication History

Abstract

Code clone analysis techniques and tools are popular topics among the software engineering research community. Many studies draw conclusions solely based on an analytical analysis. These claims focus primarily on tool performance in terms of portability, scalability, robustness, precision, and recall. However, these types of analytical studies cannot adequately evaluate the behavior of the developers while using the tools. Human-based empirical studies are complementary to studies based on analytical data because they provide direct insight into developer behavior. In this paper we argue for the need for more humanbased empirical studies in the area of code clone analysis techniques and tools.

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Cited By

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  • (2016)Deep learning code fragments for code clone detectionProceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering10.1145/2970276.2970326(87-98)Online publication date: 25-Aug-2016
  • (2014)Effect of Clone Information on the Performance of Developers Fixing Cloned BugsProceedings of the 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation10.1109/SCAM.2014.10(1-10)Online publication date: 28-Sep-2014
  • (2014)Wie kommen Entwickler mit Klonen zurechtSoftwaretechnik-Trends10.1007/s40568-013-0032-233:2(27-28)Online publication date: 22-Feb-2014
  • Show More Cited By

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cover image ACM Conferences
IWSC '11: Proceedings of the 5th International Workshop on Software Clones
May 2011
92 pages
ISBN:9781450305884
DOI:10.1145/1985404
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 23 May 2011

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Author Tags

  1. clone management
  2. code clones
  3. human-based empirical studies

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ICSE11
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ICSE11: International Conference on Software Engineering
May 23, 2011
HI, Waikiki, Honolulu, USA

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Cited By

View all
  • (2016)Deep learning code fragments for code clone detectionProceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering10.1145/2970276.2970326(87-98)Online publication date: 25-Aug-2016
  • (2014)Effect of Clone Information on the Performance of Developers Fixing Cloned BugsProceedings of the 2014 IEEE 14th International Working Conference on Source Code Analysis and Manipulation10.1109/SCAM.2014.10(1-10)Online publication date: 28-Sep-2014
  • (2014)Wie kommen Entwickler mit Klonen zurechtSoftwaretechnik-Trends10.1007/s40568-013-0032-233:2(27-28)Online publication date: 22-Feb-2014
  • (2013)Software clone detection: A systematic reviewInformation and Software Technology10.1016/j.infsof.2013.01.00855:7(1165-1199)Online publication date: Jul-2013
  • (2013)Clone evolutionJournal of Software: Evolution and Process10.1002/smr.57925:3(261-283)Online publication date: 1-Mar-2013
  • (2012)A controlled experiment on software clones2012 20th IEEE International Conference on Program Comprehension (ICPC)10.1109/ICPC.2012.6240491(219-228)Online publication date: Jun-2012

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