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Search: WFRF:(Gallego Jesus) > (2020-2024) > Lessons for Interac...

Lessons for Interactive Theorem Proving Researchers from a Survey of Coq Users

de Almeida Borges, Ana (author)
University of Barcelona, Spain
Artís, Annalí Casanueva (author)
Ifo Institut, München, Germany
Falleri, Jean Rémy (author)
Univ. Bordeaux, Bordeaux INP, CNRS, UMR 5800 LaBRI, F-33400 Talence; Institut Universitaire de France, France
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Arias, Emilio Jesús Gallego (author)
Université Paris Cité, CNRS, Inria, IRIF, F-75013, Paris, France
Martin-Dorel, Érik (author)
IRIT, Université de Toulouse, CNRS, Toulouse INP, UT3, Toulouse, France
Palmskog, Karl (author)
KTH,Teoretisk datalogi, TCS
Serebrenik, Alexander (author)
TU Eindhoven, The Netherlands
Zimmermann, Théo (author)
LTCI, Télécom Paris, Institut Polytechnique de Paris, France
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 (creator_code:org_t)
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2023
2023
English.
In: 14th International Conference on Interactive Theorem Proving, ITP 2023. - : Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • The Coq Community Survey 2022 was an online public survey of users of the Coq proof assistant conducted during February 2022. Broadly, the survey asked about use of Coq features, user interfaces, libraries, plugins, and tools, views on renaming Coq and Coq improvements, and also demographic data such as education and experience with Coq and other proof assistants and programming languages. The survey received 466 submitted responses, making it the largest survey of users of an interactive theorem prover (ITP) so far. We present the design of the survey, a summary of key results, and analysis of answers relevant to ITP technology development and usage. In particular, we analyze user characteristics associated with adoption of tools and libraries and make comparisons to adjacent software communities. Notably, we find that experience has significant impact on Coq user behavior, including on usage of tools, libraries, and integrated development environments.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Community
Coq
Statistical Analysis
Survey

Publication and Content Type

ref (subject category)
kon (subject category)

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