A data-driven game theoretic strategy for developers in software crowdsourcing: a case study
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 33267504
- Type
- D - Journal article
- DOI
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10.3390/app9040721
- Title of journal
- Applied Sciences
- Article number
- 721
- First page
- -
- Volume
- 9
- Issue
- 4
- ISSN
- 2076-3417
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2019
- 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
-
3
- Research group(s)
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-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper proposed to follow dynamic programming ideas to solve a mixed-strategy Nash equilibrium. This work is used to maximize crowd workers’ reward, and formed the basis for a continuing international collaboration between GCU and CSU (Central South University, China). It has also led to 2 follow-up published papers since 2019: one is on Soft Computing, the other is on ICSOC 2019.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -