K-branching UIO sequences for partially specified observable non-deterministic FSMs
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2175
- Type
- D - Journal article
- DOI
-
10.1109/TSE.2019.2911076
- Title of journal
- IEEE Transactions on Software Engineering
- Article number
- -
- First page
- .
- Volume
- (Online First)
- Issue
- -
- ISSN
- 0098-5589
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
https://doi.org/10.1109/TSE.2019.2911076
- 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
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Automatically generating functional tests for software systems with non-deterministic features (including e.g. safety-critical systems) is a challenge for existing automatic test generation algorithms. This work, which was funded by The Scientific and Technological Research-Council of Turkey (grant-117E48) and American University of Sharjah (grant-FRG18-SET-CEN-49) overcomes this problem, paving the way for use of automated test generation from models of such systems. This work is published in IEEE Transactions on Software Engineering, which is a world leading journal in the field.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -