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Towards a Shared Specification Repository
Many formal methods research communities lack a shared set of benchmarks. As a result, many research articles in the past have evaluated new techniques on specifications that are specifically tailored to the problem or not publicly available. While this is great for proving the concept in question,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242027/ http://dx.doi.org/10.1007/978-3-030-48077-6_22 |
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author | Körner, Philipp Leuschel, Michael Dunkelau, Jannik |
author_facet | Körner, Philipp Leuschel, Michael Dunkelau, Jannik |
author_sort | Körner, Philipp |
collection | PubMed |
description | Many formal methods research communities lack a shared set of benchmarks. As a result, many research articles in the past have evaluated new techniques on specifications that are specifically tailored to the problem or not publicly available. While this is great for proving the concept in question, it does not offer any insights on how it performs on real-world examples. Additionally, with machine learning techniques gaining more popularity, a larger set of public specifications is required. In this paper, we present our public set of B machines and urge contribution. As we think this to be an issue in other communities in scope of the ABZ as well, we are also interested in specifications expressed in other formalisms, for example Alloy, TLA[Formula: see text] or Z. |
format | Online Article Text |
id | pubmed-7242027 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72420272020-05-22 Towards a Shared Specification Repository Körner, Philipp Leuschel, Michael Dunkelau, Jannik Rigorous State-Based Methods Article Many formal methods research communities lack a shared set of benchmarks. As a result, many research articles in the past have evaluated new techniques on specifications that are specifically tailored to the problem or not publicly available. While this is great for proving the concept in question, it does not offer any insights on how it performs on real-world examples. Additionally, with machine learning techniques gaining more popularity, a larger set of public specifications is required. In this paper, we present our public set of B machines and urge contribution. As we think this to be an issue in other communities in scope of the ABZ as well, we are also interested in specifications expressed in other formalisms, for example Alloy, TLA[Formula: see text] or Z. 2020-04-22 /pmc/articles/PMC7242027/ http://dx.doi.org/10.1007/978-3-030-48077-6_22 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Körner, Philipp Leuschel, Michael Dunkelau, Jannik Towards a Shared Specification Repository |
title | Towards a Shared Specification Repository |
title_full | Towards a Shared Specification Repository |
title_fullStr | Towards a Shared Specification Repository |
title_full_unstemmed | Towards a Shared Specification Repository |
title_short | Towards a Shared Specification Repository |
title_sort | towards a shared specification repository |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242027/ http://dx.doi.org/10.1007/978-3-030-48077-6_22 |
work_keys_str_mv | AT kornerphilipp towardsasharedspecificationrepository AT leuschelmichael towardsasharedspecificationrepository AT dunkelaujannik towardsasharedspecificationrepository |