@inproceedings{7e90d7553fe4487b9d049ada0dcf4d10,
title = "Novel Metrics for Social Collaboration Processes",
abstract = "At present, the development and maintenance of many software projects are carried out by means of social collaboration. So social collaboration managers need appropriate service support to help them complete staffing, time planning and so on. Measuring the properties of the collaboration and applying them to recommendations can improve recommendation results. This paper proposes a framework for measuring the properties of collaboration process. This framework measures the collaboration process in terms of difficulty and smoothness. Then an empirical analysis is carried out based on the data of bugzilla platform's bug fix collaboration process. The value of the collaboration process property measurement were confirmed by recommendation accuracy. The empirical research results show that analyzing the properties of the collaboration process and establishing a measurement framework and applying it to the service recommendation can effectively improve the service effect.",
keywords = "bugzilla, crowdsourcing, metrics, process analysis, team collaboration",
author = "Kuo Wang and Zhongjie Wang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 15th IEEE International Conference on Service-Oriented System Engineering, SOSE 2021 ; Conference date: 23-08-2021 Through 26-08-2021",
year = "2021",
month = aug,
doi = "10.1109/SOSE52839.2021.00022",
language = "英语",
series = "Proceedings - 15th IEEE International Conference on Service-Oriented System Engineering, SOSE 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "150--154",
booktitle = "Proceedings - 15th IEEE International Conference on Service-Oriented System Engineering, SOSE 2021",
address = "美国",
}