Cautious Adaptation of Defiant Components
- Submitting institution
-
The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1664310
- Type
- E - Conference contribution
- DOI
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10.1109/ASE.2019.00094
- Title of conference / published proceedings
- The 34th IEEE/ACM International Conference on Automated Software Engineering (ASE 2019)
- First page
- 974
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- November
- Year of publication
- 2019
- 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
-
5
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published and presented in one of the leading conferences in Software Engineering (ASE 2019, acceptance rate 20.4%), the work investigates a novel cautious adaptation approach to support changes in the behaviour of defiant components participating in drone-based systems-of-systems to satisfy global requirements, while guaranteeing the satisfaction of the requirements of individual components. The work provided the development of a pilot on drone identity in the EPSRC-funded platform grant SAUSE: Secure, Adaptive, Usable Software Engineering (EP/R013144/1), and the development of the EngageKTN funded project to investigate forensic-readiness requirements of unmanned aerial systems (EU H2020 SESAR JU EngageKTN No. 783287).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -