Robustness-Driven Resilience Evaluation of Self-Adaptive Software Systems
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9882
- Type
- D - Journal article
- DOI
-
10.1109/TDSC.2015.2429128
- Title of journal
- IEEE Transactions on Dependable and Secure Computing
- Article number
- -
- First page
- 50
- Volume
- 14
- Issue
- 1
- ISSN
- 1545-5971
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
https://kar.kent.ac.uk/50275/
- 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
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The significance of this paper is that it is the first to evaluate the resilience of self-adaptive software systems using robustness testing techniques. An important contribution is a method for evaluating system resilience considering the impact of threats to the controller.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
