Browsing by Keyword "Co-engineering"
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Item The AQUAS ECSEL Project Aggregated Quality Assurance for Systems: Co-Engineering Inside and Across the Product Life Cycle: Co-Engineering Inside and Across the Product Life Cycle(2019-09) Pomante, Luigi; Muttillo, Vittoriano; Křena, Bohuslav; Vojnar, Tomáš; Veljković, Filip; Magnin, Pacôme; Matschnig, Martin; Fischer, Bernhard; Martinez, Jabier; Gruber, Thomas; SWTThere is an ever-increasing complexity of the systems we engineer in modern society, which includes facing the convergence of the embedded world and the open world. This complexity creates increasing difficulty with providing assurance for factors including safety, security and performance. In such a context, the AQUAS project investigates the challenges arising from e.g., the inter-dependence of safety, security and performance of systems and aims at efficient solutions for the entire product life-cycle. The project builds on knowledge of partners gained in current or former EU projects and will demonstrate the newly developed methods and techniques for co-engineering across use cases spanning Aerospace, Medicine, Transport and Industrial Control.Item Safety and Security Interference Analysis in the Design Stage(Springer, 2020-09-15) Martinez, Jabier; Godot, Jean; Ruiz, Alejandra; Balbis, Abel; Ruiz Nolasco, RicardoSafety and security engineering have been traditionally separated disciplines (e.g., different required knowledge and skills, terminology, standards and life-cycles) and operated in quasi-silos of knowledge and practices. However, the co-engineering of these two critical qualities of a system is being largely investigated as it promises the removal of redundant work and the detection of trade-offs in early stages of the product development life-cycle. In this work, we enrich an existing safety-security co-analysis method in the design stage providing capabilities for interference analysis. Reports on interference analyses are crucial to trigger co-engineering meetings leading to the trade-offs analyses and system refinements. We detail our automatic approach for this interference analysis, performed through fault trees generated from safety and security local analyses. We evaluate and discuss our approach from the perspective of two industrial case studies on the space and medical domains.