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Towards classification of lightweight formal methods
University of Haifa, Haifa, Israel.
RMIT University, Melbourne, Australia.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-4987-7669
Norwegian University of Science and Technology, Trondheim, Norway.
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2018 (English)In: ENASE 2018 - Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, SciTePress , 2018, p. 305-313Conference paper, Published paper (Refereed)
Abstract [en]

The use of lightweight formal methods (LFM) for the development of industrial applications has become a major trend. Although the term “lightweight formal methods” has been used for over ten years now, there seems to be no common agreement on what “lightweight” actually means, and different communities apply the term in all kinds of ways. In this paper, we explore the recent trends in the use of LFM, and establish our opinion that cost-effectiveness is the driving force to deploy LFM. Further, we propose a simple framework that should help to classify different LFM approaches and to estimate which of them are most cost-effective for a certain software engineering project. We demonstrate our framework using some examples. 

Place, publisher, year, edition, pages
SciTePress , 2018. p. 305-313
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-40923DOI: 10.5220/0006770803050313ISI: 000450506700029Scopus ID: 2-s2.0-85052811918ISBN: 9789897583001 (print)OAI: oai:DiVA.org:mdh-40923DiVA, id: diva2:1248072
Conference
13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, 23 March 2018 through 24 March 2018
Available from: 2018-09-13 Created: 2018-09-13 Last updated: 2018-12-27Bibliographically approved

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Rodriguez-Navas, Guillermo

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf