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Towards safety risk assessment of socio-technical systems via failure logic analysis
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.
SINTEF ICT, Oslo, Norway.
2014 (English)In: Proceedings - IEEE 25th International Symposium on Software Reliability Engineering Workshops, ISSREW 2014, 2014, 287-292 p.Conference paper, Published paper (Refereed)
Abstract [en]

A thorough understanding of the safety risks of a system requires an understanding of its human and organizational factors, as well as its technical components. Analysis approaches that focus only on the latter without considering, for example, how human decision makers may respond to a technical failure, are not able to adequately capture the wide variety of safety risk scenarios that need to be considered. In this paper, we propose a model-based analysis approach that allows analysts to interpret humans and organizations in terms of components and their behavior in terms of failure logic. Our approach builds on top of CHESS-FLA, which is a tool-supported failure logic analysis technique that supports analysis of component-based system architectures to understand what can go wrong at the system level and to identify the causes (i.e. Faulty components). However, CHESS-FLA currently deals only with hardware and software components and thus it is not adequate to reason about socio-technical systems. We therefore provide an extension based on a pre-existing classification of socio-failures and combine it with the one used in CHESS-FLA for technical failures, thereby giving birth to a novel approach to analysis of socio-technical systems. We demonstrate our approach on an example from the petroleum domain.

Place, publisher, year, edition, pages
2014. 287-292 p.
Keyword [en]
CHESS-FLA, Failure logic analysis, Human and organizational factors, Risk assessment, Socio-technical systems, Decision making, Failure analysis, Risk perception, Risks, Safety engineering, Software engineering, Software reliability, Component based system architecture, Failure logic, Hardware and software components, Model-based analysis, Safety risk assessments, Sociotechnical systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-27611DOI: 10.1109/ISSREW.2014.49ISI: 000360286200065Scopus ID: 2-s2.0-84922627290ISBN: 9781479973774 (print)OAI: oai:DiVA.org:mdh-27611DiVA: diva2:791036
Conference
25th IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2014, 3 November 2014 through 6 November 2014
Available from: 2015-02-26 Created: 2015-02-26 Last updated: 2015-02-26Bibliographically approved

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Gallina, Barbara

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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