The optimisation of stochastic grammars to enable cost-effective probabilistic structural testing
- Submitting institution
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University of York
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54875009
- Type
- D - Journal article
- DOI
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10.1016/j.jss.2014.11.042
- Title of journal
- Journal of Systems and Software
- Article number
- -
- First page
- 296
- Volume
- 103
- Issue
- -
- ISSN
- 0164-1212
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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-
- 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)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- An extended version of a 2013 GECCO paper, this significantly expanded the applicable scope of search-based statistical software testing (achieving desired statistical coverage of the elements of structural model of the program). It took Thevenot-Fosse’s earlier work and made it practical through automation. The empirical evaluation on multiple realistic examples shows its applicability to a wide range of test data types.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -