Source Code Archiving to the Rescue of Reproducible Deployment
The ability to verify research results and to experiment with methodologies are core tenets of science. As research results are increasingly the outcome of computational processes, software plays a central role. GNU Guix is a software deployment tool that supports reproducible software deployment, m...
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creator | Courtès, Ludovic Sample, Timothy Tournier, Simon Zacchiroli, Stefano |
description | The ability to verify research results and to experiment with methodologies
are core tenets of science. As research results are increasingly the outcome of
computational processes, software plays a central role. GNU Guix is a software
deployment tool that supports reproducible software deployment, making it a
foundation for computational research workflows. To achieve reproducibility, we
must first ensure the source code of software packages Guix deploys remains
available.We describe our work connecting Guix with Software Heritage, the
universal source code archive, making Guix the first free software distribution
and tool backed by a stable archive. Our contribution is twofold: we explain
the rationale and present the design and implementation we came up with;
second, we report on the archival coverage for package source code with data
collected over five years and discuss remaining challenges. |
doi_str_mv | 10.48550/arxiv.2405.15516 |
format | Article |
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are core tenets of science. As research results are increasingly the outcome of
computational processes, software plays a central role. GNU Guix is a software
deployment tool that supports reproducible software deployment, making it a
foundation for computational research workflows. To achieve reproducibility, we
must first ensure the source code of software packages Guix deploys remains
available.We describe our work connecting Guix with Software Heritage, the
universal source code archive, making Guix the first free software distribution
and tool backed by a stable archive. Our contribution is twofold: we explain
the rationale and present the design and implementation we came up with;
second, we report on the archival coverage for package source code with data
collected over five years and discuss remaining challenges.</description><identifier>DOI: 10.48550/arxiv.2405.15516</identifier><language>eng</language><subject>Computer Science - Software Engineering</subject><creationdate>2024-05</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2405.15516$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2405.15516$$DView paper in arXiv$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.1145/3641525.3663622$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink></links><search><creatorcontrib>Courtès, Ludovic</creatorcontrib><creatorcontrib>Sample, Timothy</creatorcontrib><creatorcontrib>Tournier, Simon</creatorcontrib><creatorcontrib>Zacchiroli, Stefano</creatorcontrib><title>Source Code Archiving to the Rescue of Reproducible Deployment</title><description>The ability to verify research results and to experiment with methodologies
are core tenets of science. As research results are increasingly the outcome of
computational processes, software plays a central role. GNU Guix is a software
deployment tool that supports reproducible software deployment, making it a
foundation for computational research workflows. To achieve reproducibility, we
must first ensure the source code of software packages Guix deploys remains
available.We describe our work connecting Guix with Software Heritage, the
universal source code archive, making Guix the first free software distribution
and tool backed by a stable archive. Our contribution is twofold: we explain
the rationale and present the design and implementation we came up with;
second, we report on the archival coverage for package source code with data
collected over five years and discuss remaining challenges.</description><subject>Computer Science - Software Engineering</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjEw1TM0NTU042SwC84vLUpOVXDOT0lVcCxKzsgsy8xLVyjJVyjJSFUISi1OLk1VyE8DsgqK8lNKkzOTclIVXFILcvIrc1PzSngYWNMSc4pTeaE0N4O8m2uIs4cu2Kb4gqLM3MSiyniQjfFgG40JqwAATd41sQ</recordid><startdate>20240524</startdate><enddate>20240524</enddate><creator>Courtès, Ludovic</creator><creator>Sample, Timothy</creator><creator>Tournier, Simon</creator><creator>Zacchiroli, Stefano</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20240524</creationdate><title>Source Code Archiving to the Rescue of Reproducible Deployment</title><author>Courtès, Ludovic ; Sample, Timothy ; Tournier, Simon ; Zacchiroli, Stefano</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2405_155163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Software Engineering</topic><toplevel>online_resources</toplevel><creatorcontrib>Courtès, Ludovic</creatorcontrib><creatorcontrib>Sample, Timothy</creatorcontrib><creatorcontrib>Tournier, Simon</creatorcontrib><creatorcontrib>Zacchiroli, Stefano</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Courtès, Ludovic</au><au>Sample, Timothy</au><au>Tournier, Simon</au><au>Zacchiroli, Stefano</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Source Code Archiving to the Rescue of Reproducible Deployment</atitle><date>2024-05-24</date><risdate>2024</risdate><abstract>The ability to verify research results and to experiment with methodologies
are core tenets of science. As research results are increasingly the outcome of
computational processes, software plays a central role. GNU Guix is a software
deployment tool that supports reproducible software deployment, making it a
foundation for computational research workflows. To achieve reproducibility, we
must first ensure the source code of software packages Guix deploys remains
available.We describe our work connecting Guix with Software Heritage, the
universal source code archive, making Guix the first free software distribution
and tool backed by a stable archive. Our contribution is twofold: we explain
the rationale and present the design and implementation we came up with;
second, we report on the archival coverage for package source code with data
collected over five years and discuss remaining challenges.</abstract><doi>10.48550/arxiv.2405.15516</doi><oa>free_for_read</oa></addata></record> |
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title | Source Code Archiving to the Rescue of Reproducible Deployment |
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