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A clone code detection method based on software complex network

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces complex network into software clone detection and proposes a clone code detection method based on software complex network feature matching. This method has the following properties. It builds a software network model with many added features and codes written with different languages can be detected by a single method. It reduces the space of code comparison, and it searches similar subnetworks to detect clones without knowing any clone codes information. This method can be used in detecting open source code which has been reused in software for security analysis.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019
EditorsKatinka Wolter, Ina Schieferdecker, Barbara Gallina, Michel Cukier, Roberto Natella, Naghmeh Ivaki, Nuno Laranjeiro
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages120-121
Number of pages2
ISBN (Electronic)9781728151380
DOIs
StatePublished - Oct 2019
Event30th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2019 - Berlin, Germany
Duration: 28 Oct 201931 Oct 2019

Publication series

NameProceedings - 2019 IEEE 30th International Symposium on Software Reliability Engineering Workshops, ISSREW 2019

Conference

Conference30th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2019
Country/TerritoryGermany
CityBerlin
Period28/10/1931/10/19

Keywords

  • clone-code-detection
  • feature-matching
  • software-network
  • software-security

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