A verified and optimized Stream X‐Machine testing method, with application to cloud service certification
- Submitting institution
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The University of Sheffield
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7392
- Type
- D - Journal article
- DOI
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10.1002/stvr.1729
- Title of journal
- Software Testing, Verification and Reliability
- Article number
- e1729
- First page
- -
- Volume
- 30
- Issue
- 3
- ISSN
- 0960-0833
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- 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
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1
- Research group(s)
-
H - Testing
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper culminates Sheffield’s contribution to the EU FP7 Broker@Cloud project (no. 328392, https://sites.google.com/site/brokeratcloud/home). This work was the first to ally the theoretical Stream X-Machine testing method with novel tools that verify the formal correctness of the specification and then generate fully optimised concrete tests in multiple service-oriented execution formats. Industry partners Singular Logic Athens and SAP Karlsruhe successfully tested services on diverse cloud platforms. The test optimisation and compression method typically saves 90% of the testing effort.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -