You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

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


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

Publication Type:

Journal article


IEEE Softw. SI


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.


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 = {}