Gillian, Part I: a multi-language platform for symbolic execution
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 4280
- Type
- E - Conference contribution
- DOI
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10.1145/3385412.3386014
- Title of conference / published proceedings
- PLDI 2020: Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation
- First page
- 927
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- June
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
10.1145/3385412.3386014
- 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
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3
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Gillian is a multi-language platform for developing symbolic analysis tools, which supports testing, verification and bi-abduction. Gillian instantiations include JavaScript and C: it found non-trivial bugs in real-world libraries, Buckets.js and Collections-C (twice the speed of JaVerT 2.0 (POPL'19; http://dx.doi.org/10.1145/3290379), competitive with C tools) and verified part of the AWS Encryption SDK messaging system. It resulted in a functional PLDI'20 artefact (https://dl.acm.org/do/10.1145/3395646/abs/), which supports both symbolic testing and verification/bi-abduction. It also secured follow-on funding by Facebook ($500K), Amazon (£100K), GCHQ (£75K) and invited talks at ECOOP'19 (tutorial; https://2019.ecoop.org/track/ecoop-2019-summer-school), Rebase at OOPSLA/ECOOP'20 (http://rebase-conf.org/2020/), CodeMesh’20 (https://bit.ly/3lOOE0f) and AWS Online Verification Series'20.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
