Detecting argument selection defects
- Submitting institution
-
University of Cambridge
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1911
- Type
- D - Journal article
- DOI
-
10.1145/3133928
- Title of journal
- Proceedings of the ACM on Programming Languages
- Article number
- 104
- First page
- 1
- Volume
- 1
- Issue
- OOPSLA
- ISSN
- 2475-1421
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- 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
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The algorithm developed in this paper is incorporated in the open-source ErrorProne static analysis tool. It now runs in production at Google on all Java code changes. This speaks to its reliability: for a check to run in production at Google it developers must report fewer than 10% of its findings as 'not useful'. The check is also valuable, reporting approximately 50 findings a week across the whole company.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -