A dataset of open-source safety-critical software

Rafaila Galanopoulou; Diomidis Spinellis

A dataset of open-source safety-critical software

Rafaila Galanopoulou^*, Diomidis Spinellis

^*Corresponding author for this work

Software Engineering

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Abstract

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 language	English
Title of host publication	TSOS 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
Editors	Elisabetta Di Nitto, Pierluigi Plebani
Pages	38-43
Number of pages	6
Volume	2878
Publication status	Published - 2021
Event	1st SWForum Workshop on Trustworthy Software and Open Source - Virtual, Online Duration: 23 Mar 2021 → 25 Mar 2021 Conference number: 1 http://ceur-ws.org/Vol-2878/

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS
ISSN (Print)	1613-0073

Conference

Conference	1st SWForum Workshop on Trustworthy Software and Open Source
Abbreviated title	TSOS 2021
Period	23/03/21 → 25/03/21
Internet address	http://ceur-ws.org/Vol-2878/

Keywords

dataset
open-source
safety-critical

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paper6Final published version, 194 KBLicence: CC BY

Cite this

Galanopoulou, Rafaila ; Spinellis, Diomidis. / A dataset of open-source safety-critical software. TSOS 2021 Trustworthy Software and Open Source: Short Papers Proceedings of the First SWForum workshop on Trustworthy Software and Open Source 2021 Virtual Conference, March 23-25, 2021. editor / Elisabetta Di Nitto ; Pierluigi Plebani . Vol. 2878 2021. pp. 38-43 (CEUR Workshop Proceedings).

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title = "A dataset of open-source safety-critical software",

abstract = "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.",

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editor = "{Di Nitto}, Elisabetta and {Plebani }, Pierluigi",

booktitle = "TSOS 2021 Trustworthy Software and Open Source",

note = "1st SWForum Workshop on Trustworthy Software and Open Source, TSOS 2021 ; Conference date: 23-03-2021 Through 25-03-2021",

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Galanopoulou, R & Spinellis, D 2021, A dataset of open-source safety-critical software. in E Di Nitto & P Plebani (eds), TSOS 2021 Trustworthy Software and Open Source: Short Papers Proceedings of the First SWForum workshop on Trustworthy Software and Open Source 2021 Virtual Conference, March 23-25, 2021. vol. 2878, CEUR Workshop Proceedings, pp. 38-43, 1st SWForum Workshop on Trustworthy Software and Open Source, 23/03/21.

A dataset of open-source safety-critical software. / Galanopoulou, Rafaila; Spinellis, Diomidis.
TSOS 2021 Trustworthy Software and Open Source: Short Papers Proceedings of the First SWForum workshop on Trustworthy Software and Open Source 2021 Virtual Conference, March 23-25, 2021. ed. / Elisabetta Di Nitto; Pierluigi Plebani . Vol. 2878 2021. p. 38-43 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Spinellis, Diomidis

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N2 - 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.

AB - 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.

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KW - open-source

KW - safety-critical

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M3 - Conference contribution

AN - SCOPUS:85108025545

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BT - TSOS 2021 Trustworthy Software and Open Source

A2 - Di Nitto, Elisabetta

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Y2 - 23 March 2021 through 25 March 2021

ER -

A dataset of open-source safety-critical software

Abstract

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Keywords

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