Reliability assessment of service-based software under operational profile uncertainty
- Submitting institution
-
City, University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1251
- Type
- D - Journal article
- DOI
-
10.1016/j.ress.2020.107193
- Title of journal
- Reliability Engineering and System Safety
- Article number
- 107193
- First page
- -
- Volume
- 204
- Issue
- -
- ISSN
- 0951-8320
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- 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
-
2
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The output is of high relevance for regulated industries, to show how to use "proven in use" evidence. Standards, such as IEC61508, demand that prior operation must have been in similar environment. Useful evidence is ignored for lack of an adequate reasoning method. This output fills this gap and develops a novel two-stage Bayesian inference method for reliability assessment of software working in changeable operational environment. The output is a result of a long-term collaboration with colleagues from a recognised group in Italy and appears in a highly reputable journal in the field, ranked the third according to CiteScore (https://www.scopus.com/sourceid/13853#tabs=1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
