License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.06301.5
URN: urn:nbn:de:0030-drops-9695
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2007/969/
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Dean, Thomas R. ; Di Penta, Massamiliano ; Kontogiannis, Kostas ; Walenstein, Andrew

Clone Detector Use Questions: A List of Desirable Empirical Studies

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06301.DeanThomas.969.pdf (0.1 MB)

Abstract

Code "clones" are similar segments of code that are frequently introduced
by "scavenging" existing code, that is, reusing code by copying it and
adapting it for a new use. In order to scavenge the code, the developer
must be aware of it already, or must find it. Little is known about how
tools - particularly search tools - impact the clone construction process,
nor how developers use them for this purpose. This paper lists five
outstanding research questions in this area and proposes sketches of
designs for five empirical studies that might be conducted to help shed
light on those questions.

BibTeX - Entry

@InProceedings{dean_et_al:DagSemProc.06301.5,
  author =	{Dean, Thomas R. and Di Penta, Massamiliano and Kontogiannis, Kostas and Walenstein, Andrew},
  title =	{{Clone Detector Use Questions:  A List of Desirable Empirical Studies}},
  booktitle =	{Duplication, Redundancy, and Similarity in Software},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2007},
  volume =	{6301},
  editor =	{Rainer Koschke and Ettore Merlo and Andrew Walenstein},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2007/969},
  URN =		{urn:nbn:de:0030-drops-9695},
  doi =		{10.4230/DagSemProc.06301.5},
  annote =	{Keywords: Code clone, clone detector, code search, reuse, code scavenging, empirical study}
}

Keywords: Code clone, clone detector, code search, reuse, code scavenging, empirical study
Collection: 06301 - Duplication, Redundancy, and Similarity in Software
Issue Date: 2007
Date of publication: 19.04.2007

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