CITATION.cff

cff-version: 1.2.0
title: "Dolos"
url: "https://dolos.ugent.be"
abstract: "Dolos is a source code plagiarism detection tool designed to be as effective as possible to use."
message: "If you use this software in your research, please cite it as below."
authors: &AUTHORS
  - family-names: "Maertens"
    given-names: "Rien"
    orcid: "https://orcid.org/0000-0002-2927-3032"
  - family-names: "Van Petegem"
    given-names: "Charlotte"
    orcid: "https://orcid.org/0000-0003-0779-4897"
  - family-names: "Strijbol"
    given-names: "Niko"
    orcid: "https://orcid.org/0000-0002-3161-174X"
  - family-names: "Baeyens"
    given-names: "Toon"
    orcid: "https://orcid.org/0000-0002-2069-7824"
  - family-names: "Jacobs"
    given-names: "Arne Carla"
    orcid: "https://orcid.org/0000-0003-0412-9648"
  - family-names: "Dawyndt"
    given-names: "Peter"
    orcid: "https://orcid.org/0000-0002-1623-9070"
  - family-names: "Mesuere"
    given-names: "Bart"
    orcid: "https://orcid.org/0000-0003-0610-3441"
preferred-citation:
  type: article
  doi: "10.1111/jcal.12662"
  journal: "Journal of Computer Assisted Learning"
  title: "Dolos: Language-agnostic plagiarism detection in source code"
  authors: *AUTHORS
  year: 2022
repository-code: "https://github.com/dodona-edu/dolos"
license: "MIT"
keywords:
  - plagiarism detection
  - source code analysis
  - education
  - code similarity