The CONCERTO Methodology for Model-Based Development of Avionics Software

Baldovin, Andrea; Zovi, Alessandro; Nelissen, Geoffrey; Puri, Stefano

doi:10.1007/978-3-319-19584-1_9

Cited by 2 publications

(1 citation statement)

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“…The interplay between security and safety will also be considered in terms of process requirements. The recently introduced notion of Security-informed Safety-oriented Process Line [10] will be further investigated in AMASS in order to enable the alignment of safety and security standards.…”

Section: Multi-concern Assurancementioning

confidence: 99%

Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems

Ruíz¹,

Gallina²,

Mazzini

et al. 2016

Lecture Notes in Computer Science

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Unlike practices in electrical and mechanical equipment engineering, Cyber-Physical Systems (CPS) do not have a set of standardized and harmonized practices for assurance and certification that ensures safe, secure and reliable operation with typical software and hardware architectures. This paper presents a recent initiative called AMASS (Architecture-driven, Multi-concern and Seamless Assurance and Certification of Cyber-Physical Systems) to promote harmonization, reuse and automation of labour-intensive certification-oriented activities via using model-based approaches and incremental techniques. AMASS will develop an integrated and holistic approach, a supporting tool ecosystem and a self-sustainable community for assurance and certification of CPS. The approach will be driven by architectural decisions (fully compatible with standards, e.g. AUTOSAR and IMA), including multiple assurance concerns such as safety, security and reliability. AMASS will support seamless interoperability between assurance/certification and engineering activities along with third-party activities (external assessments, supplier assurance). The ultimate aim is to lower certification costs in face of rapidly changing product features and market needs.

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Section: Multi-concern Assurancementioning

confidence: 99%