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Multi-concern Dependability-centered Assurance via Qualitative and Quantitative Co-analysis

Authors:

Barbara Gallina, Leonardo Montecchi , André Luiz de Oliveira , Lucas Paiva Bressan

Publication Type:

Journal article

Venue:

IEEE Softw. SI


Abstract

In various safety-critical domains, multi-concern claims, regarding multiple dependability attributes e.g., safety, security and their interplay, have become common and need to be justified based on evidence. At system design-level, evidence may include a combination of mono-concern as well as multi-concern analysis results. In this paper, to contribute to multi-concern assurance, we focus on system design, and we first present a highlevel process that builds on top of the synergy between qualitative and quantitative dependability analysis techniques, which have been used for mono as well as multi-concern analysis. Then, we explain how to instantiate it within the automotive domain. Finally, perspectives for future work are sketched.

Bibtex

@article{Gallina6418,
author = {Barbara Gallina and Leonardo Montecchi and Andr{\'e} Luiz de Oliveira and Lucas Paiva Bressan},
title = {Multi-concern Dependability-centered Assurance via Qualitative and Quantitative Co-analysis},
pages = {1--6},
month = {April},
year = {2022},
journal = {IEEE Softw. SI},
url = {http://www.es.mdh.se/publications/6418-}
}