© 2017-2024 Leonardo Montecchi
Journal Article
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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 high-level 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 a specific domain, e.g., automotive. Finally, perspectives for future work are also sketched. |
DOI | 10.1109/MS.2022.3167370 |
Journal | IEEE Software |
Volume | 39 |
Issue | 4 |
Month | July |
Year | 2022 |
Pages | 39-47 |
Publisher | IEEE |
ISSN | ELECTRONIC: 1937-4194 PRINT: 0740-7459 |
Citation |
Bibtex
@article{2022SW, author = {Gallina, Barbara and Montecchi, Leonardo and de Oliveira, André Luiz and Bressan, Lucas}, title = {{Multiconcern Dependability-Centered Assurance via Qualitative and Quantitative Coanalysis}}, journal = {IEEE Software}, publisher = {IEEE}, volume = {39}, number = {4}, pages = {39-47}, month = {7}, year = {2022} }
Plain TextB. Gallina, L. Montecchi, A. de Oliveira, L. Bressan.
Multiconcern Dependability-Centered Assurance via Qualitative and Quantitative Coanalysis.
In: IEEE Software, Vol. 39, Issue 4, pp. 39-47
(July 2022).
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© 2017-2024 Leonardo Montecchi