Conservative claims for the probability of perfection of a software-based system using operational experience of previous similar systems
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1254
- Type
- D - Journal article
- DOI
-
10.1016/j.ress.2018.03.032
- Title of journal
- Reliability Engineering and System Safety
- Article number
- -
- First page
- 265
- Volume
- 175
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2018
- URL
-
-
- 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
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Contract research for CINIF (UK Control and Instrumentation Nuclear Industry Forum). Intended to support validation of existing and future reactor safety cases. In previous work we showed how "probability of perfection" can be used advantageously in probabilistic assessment (Littlewood & Rushby 2011; Zhao, Littlewood, Povyakalo & Wright 2015); here, we added the substantial mathematical machinery for using experience from how well software engineering methods worked on previous products.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
