Software Crowdsourcing Task Allocation Algorithm Based on Dynamic Utility

Software Crowdsourcing Task Allocation Algorithm Based on Dynamic Utility

For crowdsourcing software development, poor matching between the workers' development skills and the requirements for the assigned tasks results in poor quality task completion. In this paper, we propose a dynamic utility task allocation algorithm (DUTA), a software crowdsourcing task allocati...

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Bibliographic Details
Main Authors: Dunhui Yu, Yi Wang, Zhuang Zhou
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Capability measurement
Kuhn-Munkres algorithm
skill matching
software complexity
software crowdsourcing
task assignment
Online Access:https://ieeexplore.ieee.org/document/8666714/

Internet

https://ieeexplore.ieee.org/document/8666714/

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