Recommending crowdsourced software developers in consideration of skill improvement

• Published in: 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE) pp. 717 - 722
• Main Authors: Zizhe Wang, Hailong Sun, Yang Fu, Luting Ye
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2017
• Subjects: Algorithm design and analysis; Correlation; Crowdsourcing; Prediction algorithms; recommender systems; Reliability; Software; software development; Topcoder

Finding suitable developers for a given task is critical and challenging for successful crowdsourcing software development. In practice, the development skills will be improved as developers accomplish more development tasks. Prior studies on crowdsourcing developer recommendation do not consider th...