A dataset of open-source safety-critical software

Rafaila Galanopoulou*, Diomidis Spinellis

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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We describe the method used to create a dataset of open-source safety-critical software, such as that used for autonomous cars, healthcare, and autonomous aviation, through a systematic and rigorous selection process. The dataset can be used for empirical studies regarding the quality assessment of safety-critical software, its dependencies, and its development process, as well as comparative studies considering software from other domains.

Original languageEnglish
Title of host publicationTSOS 2021 Trustworthy Software and Open Source
Subtitle of host publication Short Papers Proceedings of the First SWForum workshop on Trustworthy Software and Open Source 2021 Virtual Conference, March 23-25, 2021
EditorsElisabetta Di Nitto, Pierluigi Plebani
Number of pages6
Publication statusPublished - 2021
Event1st SWForum Workshop on Trustworthy Software and Open Source - Virtual, Online
Duration: 23 Mar 202125 Mar 2021
Conference number: 1

Publication series

NameCEUR Workshop Proceedings
ISSN (Print)1613-0073


Conference1st SWForum Workshop on Trustworthy Software and Open Source
Abbreviated titleTSOS 2021
Internet address


  • dataset
  • open-source
  • safety-critical


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