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 http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
- the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
- 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 webmaster@ide.mdh.se
Toward a Systematic and Safety Evidence Productive Verification Approach for Safety-Critical Systems
Publication Type:
Conference/Workshop Paper
Venue:
8th IEEE International Workshop on Software Certification
DOI:
10.1109/ISSREW.2018.00026
Abstract
In safety-critical systems, the verification and validation
phase in the software development life cycle plays an
important role in assuring safety. The artifacts’ outputs of
the verification and validation processes represent the evidence
needed to show a satisfactory fulfillment of the safety requirements.
Providing strong evidence to show that the requirements
of the domain standards are met is the core of demonstrating
safety standards compliance. In this paper, we propose a systematic
approach for verifying safety-critical systems efficiently
by integrating model-based testing, combinatorial testing, and
safety analysis; this is all driven by providing safety assurance.
The approach provides both testing and formal verification
capabilities, and it is easy to implement into a tool for use in
an industry setting. To show how our approach could contribute
to safety standards compliance, we investigated it’s capability to
fulfill the safety requirements by analyzing and linking the data
produced from the steps in the approach to a safety evidence
taxonomy.
Bibtex
@inproceedings{Gannous5216,
author = {Aiman Gannous and Anneliese Andrews and Barbara Gallina},
title = {Toward a Systematic and Safety Evidence Productive Verification Approach for Safety-Critical Systems},
month = {October},
year = {2018},
booktitle = {8th IEEE International Workshop on Software Certification},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/5216-}
}