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Concerto FLA-based multi-concern assurance for space systems
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6952-1053
OHB Sweden, Kista, Sweden.
Intecs, Italy.
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2019 (English)In: Ada User Journal, ISSN 1381-6551, Vol. 40, no 1, p. 35-39Article in journal (Refereed) Published
Abstract [en]

Space systems often need to be engineered in compliance with standards such as ECSS and need to ensure a certain degree of dependability. Given the multi-faceted nature of dependability (characterized by a set of concerns), assuring dependability implies multi-concern assurance, which requires the modelling of various system characteristics and their co-assessment and co-analysis, in order to enable the management of trade-offs between them. CHESS is a systems engineering methodology and an open source toolset, which includes ConcertoFLA. ConcertoFLA allows users (system architects and dependability engineers) to decorate component-based architectural models with dependability-related information, execute Failure Logic Analysis (FLA) techniques, and get the results back-propagated onto the original model. In this paper, we present the customization of the CHESS methodology and ConcertoFLA in the context of the ECSS standards to enable architects and dependability engineers to define a system and perform dependability-centered co-analysis for assuring the required non-functional properties of the system according to ECSS requirements. The proposed customization is then applied in the context of spacecraft Attitude Control Systems engineering, which is a part of satellite on-board software. 

Place, publisher, year, edition, pages
Ada-Europe , 2019. Vol. 40, no 1, p. 35-39
Keywords [en]
CHESS toolset, Dependability analysis, Dependability assurance, ECSS standard series, Failure Logic Analysis, Multi-concern
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-44662Scopus ID: 2-s2.0-85067085087OAI: oai:DiVA.org:mdh-44662DiVA, id: diva2:1331700
Available from: 2019-06-27 Created: 2019-06-27 Last updated: 2019-06-27Bibliographically approved

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Haider, ZulqarnainGallina, Barbara

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CiteExportLink to record
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