Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-3639
Authors: Wagner, Stefan
Abdulkhaleq, Asim
Bogicevic, Ivan
Ostberg, Jan-Peter
Ramadani, Jasmin
Title: How are functionally similar code clones syntactically different? An empirical study and a benchmark
Issue Date: 2016
metadata.ubs.publikation.typ: Zeitschriftenartikel
metadata.ubs.publikation.source: PeerJ computer science (2016), 2:e49. URL http://dx.doi.org./10.7717/peerj-cs.49
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-105676
http://elib.uni-stuttgart.de/handle/11682/3656
http://dx.doi.org/10.18419/opus-3639
Abstract: Background. Today, redundancy in source code, so-called ‘‘clones’’ caused by copy&paste can be found reliably using clone detection tools. Redundancy can arise also independently, however, not caused by copy&paste. At present, it is not clear how only functionally similar clones (FSC) differ from clones created by copy&paste. Our aim is to understand and categorise the syntactical differences in FSCs that distinguish them from copy&paste clones in a way that helps clone detection research. Methods. We conducted an experiment using known functionally similar programs in Java and C from coding contests. We analysed syntactic similarity with traditional detection tools and explored whether concolic clone detection can go beyond syntax. We ran all tools on 2,800 programs and manually categorised the differences in a random sample of 70 program pairs. Results. We found no FSCs where complete files were syntactically similar. We could detect a syntactic similarity in a part of the files in <16% of the program pairs. Concolic detection found 1 of the FSCs. The differences between program pairs were in the categories algorithm, data structure, OO design, I/O and libraries. We selected 58 pairs for an openly accessible benchmark representing these categories. Discussion. The majority of differences between functionally similar clones are beyond the capabilities of current clone detection approaches. Yet, our benchmark can help to drive further clone detection research.
Appears in Collections:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

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