Fencing off go: liveness and safety for channel-based programming
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9407
- Type
- E - Conference contribution
- DOI
-
10.1145/3009837.3009847
- Title of conference / published proceedings
- Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages - POPL 2017
- First page
- 748
- Volume
- -
- Issue
- -
- ISSN
- 0362-1340
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
https://kar.kent.ac.uk/62218/
- 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
-
3
- Research group(s)
-
-
- Citation count
- 10
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is significant because it is the first work to statically verify a full-fledged programming language using behavioural types. The results rely on a robust theory which has been fully implemented in an open source tool to infer behavioural types from Go source code, and to check for liveness/safety of these types.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
