View in EDS PDF Full Text

Fast and Flexible Large-Scale Clone Detection with CloneWorks.

Saved in:
Bibliographic Details
Title: Fast and Flexible Large-Scale Clone Detection with CloneWorks.
Authors: Svajlenko, Jeffrey1 jeff.svajlenko@usask.ca, Roy, Chanchal K.1 chanchal.roy@usask.ca
Source: ICSE: International Conference on Software Engineering. 2017, p27-30. 4p.
Subjects: Institutional repositories, Computer software research, Computer software development, Plug-ins (Computer programs), Computer workstation clusters
Abstract: Clone detection in very-large inter-project repositories has numerous applications in software research and development. However, existing tools do not provide the flexibility researchers need to explore this emerging domain. We introduce CloneWorks. a fast and flexible clone detector for large-scale clone detection experiments. CloneWorks gives the user full control over the representation of the source code before clone detection, including easy plug-in of custom source transformation, normalization and Altering logic. The user can then perform targeted clone detection for any type or kind of clone of interest. CloneWorks uses our fast and scalable partitioned partial indexes approach, which can handle any input size on an average workstation using input partitioning. CloneWorks can detect Typc-3 clones in an input as large as 250 million lines of code in just four hours on an average workstation, with good recall and precision as measured by our BigCloneBench. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 125502371
AccessLevel: 6
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Fast and Flexible Large-Scale Clone Detection with CloneWorks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Svajlenko%2C+Jeffrey%22">Svajlenko, Jeffrey</searchLink><relatesTo>1</relatesTo><i> jeff.svajlenko@usask.ca</i><br /><searchLink fieldCode="AR" term="%22Roy%2C+Chanchal+K%2E%22">Roy, Chanchal K.</searchLink><relatesTo>1</relatesTo><i> chanchal.roy@usask.ca</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. 2017, p27-30. 4p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Institutional+repositories%22">Institutional repositories</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+research%22">Computer software research</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Plug-ins+%28Computer+programs%29%22">Plug-ins (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+workstation+clusters%22">Computer workstation clusters</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Clone detection in very-large inter-project repositories has numerous applications in software research and development. However, existing tools do not provide the flexibility researchers need to explore this emerging domain. We introduce CloneWorks. a fast and flexible clone detector for large-scale clone detection experiments. CloneWorks gives the user full control over the representation of the source code before clone detection, including easy plug-in of custom source transformation, normalization and Altering logic. The user can then perform targeted clone detection for any type or kind of clone of interest. CloneWorks uses our fast and scalable partitioned partial indexes approach, which can handle any input size on an average workstation using input partitioning. CloneWorks can detect Typc-3 clones in an input as large as 250 million lines of code in just four hours on an average workstation, with good recall and precision as measured by our BigCloneBench. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=125502371
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/ICSE-C.2017.3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 4
        StartPage: 27
    Subjects:
      – SubjectFull: Institutional repositories
        Type: general
      – SubjectFull: Computer software research
        Type: general
      – SubjectFull: Computer software development
        Type: general
      – SubjectFull: Plug-ins (Computer programs)
        Type: general
      – SubjectFull: Computer workstation clusters
        Type: general
    Titles:
      – TitleFull: Fast and Flexible Large-Scale Clone Detection with CloneWorks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Svajlenko, Jeffrey
      – PersonEntity:
          Name:
            NameFull: Roy, Chanchal K.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: 2017
              Type: published
              Y: 2017
          Titles:
            – TitleFull: ICSE: International Conference on Software Engineering
              Type: main
ResultId 1