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A Method to Generate Reusable Safety Case Argument-Fragments from Compositional Safety Analysis
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7382-8437
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6952-1053
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-8461-0230
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7235-6888
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2017 (English)In: Journal of Systems and Software, ISSN 0164-1212, E-ISSN 1873-1228, Vol. 131, p. 570-590Article in journal (Refereed) Published
Abstract [en]

Safety-critical systems usually need to be accompanied by an explained and well-founded body of evidence to show that the system is acceptably safe. While reuse within such systems covers mainly code, reusing accompanying safety artefacts is limited due to a wide range of context dependencies that need to be satisfied for safety evidence to be valid in a different context. Currently, the most commonly used approaches that facilitate reuse lack support for systematic reuse of safety artefacts. To facilitate systematic reuse of safety artefacts we provide a method to generate reusable safety case argument-fragments that include supporting evidence related to compositional safety analysis. The generation is performed from safety contracts that capture safety-relevant behaviour of components in assumption/guarantee pairs backed up by the supporting evidence. We evaluate the feasibility of our approach in a real-world case study where a safety related component developed in isolation is reused within a wheel-loader.

Place, publisher, year, edition, pages
Sweden: Elsevier , 2017. Vol. 131, p. 570-590
Keywords [en]
Component-based architectures, Contract-based architectures, Compositional safety analysis, Modular argumentation, Safety argumentation reuse
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-33767DOI: 10.1016/j.jss.2016.07.034ISI: 000407657500032Scopus ID: 2-s2.0-84997796738OAI: oai:DiVA.org:mdh-33767DiVA, id: diva2:1048528
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SYNOPSIS - Safety Analysis for Predictable Software Intensive Systems
Note

Journal of Systems and Software: Special Issue on Software Reuse SR-JSS 2016

Available from: 2016-11-21 Created: 2016-11-21 Last updated: 2017-11-01Bibliographically approved

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CiteExportLink to record
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