Assisted assignment of automotive safety requirements
- Submitting institution
-
The University of Hull
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 3399702
- Type
- D - Journal article
- DOI
-
10.1109/ms.2013.118
- Title of journal
- IEEE Software
- Article number
- -
- First page
- 62
- Volume
- 31
- Issue
- 1
- ISSN
- 0740-7459
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2014
- URL
-
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6594996
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 23
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper contributed to HiP-HOPS extensions and introduced a tool that has been commercialised to improve the system and software engineering lifecycle. The tool enables efficient allocation of safety requirements, regarding systematic failures, when designing critical embedded computer systems. Related work on safety requirement allocation has emerged in Europe (U. of Angers, Saintis & PhD thesis by Dhouibi), Brazil (U. of Sao Paolo, Oliveira) and Canada (U. of Waterloo, Murashkin) . These algorithms improve the application of automotive (ISO-262626) and aerospace (ARP-4761) safety standards. A version of this work combined with Penguin-inspired metaheuristics got wide publicity in global media (http://www.bbc.co.uk/news/technology-38637006).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -