Sound conformance testing for cyber-physical systems: Theory and implementation
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1416
- Type
- D - Journal article
- DOI
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10.1016/j.scico.2017.07.002
- Title of journal
- Science of Computer Programming
- Article number
- -
- First page
- 35
- Volume
- 162
- Issue
- -
- ISSN
- 0167-6423
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
https://doi.org/10.1016/j.scico.2017.07.002
- 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
- The first paper, to our knowledge, that establishes a rigorous foundation for soundness in testing sampled behaviour of cyber-physical systems from their hybrid systems models. This research, including the previous conference versions at ICTAC’15 and TASE’16, has been picked up, among others, by colleagues at Arizona State (Safe-AI AAAI'2020), U Bremen (ISoLA'18), U Mondragon and Simula Research (IEEE Trans. Ind. Inf. 2017), and UT Arlington (ICSE'18 and PhD Thesis of Chowdhuri) in their conformance testing theory and tools. In particular, the work at U Mondragon, Simular Research, and UT led to advanced fuzzing and search-based algorithms for testing cyber-physical systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -