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Momba: JANI Meets Python
JANI-model [6] is a model interchange format for networks of interacting automata. It is well-entrenched in the quantitative model checking community and allows modeling a variety of systems involving concurrency, probabilistic and real-time aspects, as well as continuous dynamics. Python is a gener...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984561/ http://dx.doi.org/10.1007/978-3-030-72013-1_23 |
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author | Köhl, Maximilian A. Klauck, Michaela Hermanns, Holger |
author_facet | Köhl, Maximilian A. Klauck, Michaela Hermanns, Holger |
author_sort | Köhl, Maximilian A. |
collection | PubMed |
description | JANI-model [6] is a model interchange format for networks of interacting automata. It is well-entrenched in the quantitative model checking community and allows modeling a variety of systems involving concurrency, probabilistic and real-time aspects, as well as continuous dynamics. Python is a general purpose programming language preferred by many for its ease of use and vast ecosystem. In this paper, we present Momba, a flexible Python framework for dealing with formal models centered around the JANI-model format and formalism. Momba strives to deliver an integrated and intuitive experience for experimenting with formal models making them accessible to a broader audience. To this end, it provides a pythonic interface for model construction, validation, and analysis. Here, we demonstrate these capabilities. |
format | Online Article Text |
id | pubmed-7984561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
spelling | pubmed-79845612021-03-23 Momba: JANI Meets Python Köhl, Maximilian A. Klauck, Michaela Hermanns, Holger Tools and Algorithms for the Construction and Analysis of Systems Article JANI-model [6] is a model interchange format for networks of interacting automata. It is well-entrenched in the quantitative model checking community and allows modeling a variety of systems involving concurrency, probabilistic and real-time aspects, as well as continuous dynamics. Python is a general purpose programming language preferred by many for its ease of use and vast ecosystem. In this paper, we present Momba, a flexible Python framework for dealing with formal models centered around the JANI-model format and formalism. Momba strives to deliver an integrated and intuitive experience for experimenting with formal models making them accessible to a broader audience. To this end, it provides a pythonic interface for model construction, validation, and analysis. Here, we demonstrate these capabilities. 2021-02-26 /pmc/articles/PMC7984561/ http://dx.doi.org/10.1007/978-3-030-72013-1_23 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
spellingShingle | Article Köhl, Maximilian A. Klauck, Michaela Hermanns, Holger Momba: JANI Meets Python |
title | Momba: JANI Meets Python |
title_full | Momba: JANI Meets Python |
title_fullStr | Momba: JANI Meets Python |
title_full_unstemmed | Momba: JANI Meets Python |
title_short | Momba: JANI Meets Python |
title_sort | momba: jani meets python |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7984561/ http://dx.doi.org/10.1007/978-3-030-72013-1_23 |
work_keys_str_mv | AT kohlmaximiliana mombajanimeetspython AT klauckmichaela mombajanimeetspython AT hermannsholger mombajanimeetspython |