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Exploration of Community Image Construction Based on CIS——Take Taizhou Open University as an Example 被引量:1
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作者 Kaiyi Wang 《Journal of Finance Research》 2021年第1期10-14,共5页
CIS strategy has been widely used in enterprise management,which brings economic and social benefits to enterprises.Based on the introduction of CIS strategic connotation,implementation effect and shaping cases,the pu... CIS strategy has been widely used in enterprise management,which brings economic and social benefits to enterprises.Based on the introduction of CIS strategic connotation,implementation effect and shaping cases,the purpose of this paper is to improve the image of adult education community,strengthen the construction and management level of community,enhance the attraction of community,and promote the high quality development of adult open education. 展开更多
关键词 CIS open Education community Image Sense of belonging community building open education Mass organization
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Rev Rec: A two-layer reviewer recommendation algorithm in pull-based development model 被引量:5
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作者 杨程 张迅晖 +5 位作者 曾令斌 范强 王涛 余跃 尹刚 王怀民 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第5期1129-1143,共15页
Code review is an important process to reduce code defects and improve software quality. In social coding communities like GitHub, as everyone can submit Pull-Requests, code review plays a more important role than eve... Code review is an important process to reduce code defects and improve software quality. In social coding communities like GitHub, as everyone can submit Pull-Requests, code review plays a more important role than ever before, and the process is quite time-consuming. Therefore, finding and recommending proper reviewers for the emerging Pull-Requests becomes a vital task. However, most of the current studies mainly focus on recommending reviewers by checking whether they will participate or not without differentiating the participation types. In this paper, we develop a two-layer reviewer recommendation model to recommend reviewers for Pull-Requests (PRs) in GitHub projects from the technical and managerial perspectives. For the first layer, we recommend suitable developers to review the target PRs based on a hybrid recommendation method. For the second layer, after getting the recommendation results from the first layer, we specify whether the target developer will technically or managerially participate in the reviewing process. We conducted experiments on two popular projects in GitHub, and tested the approach using PRs created between February 2016 and February 2017. The results show that the first layer of our recommendation model performs better than the previous work, and the second layer can effectively differentiate the types of participation. 展开更多
关键词 Pull-Request code reviewer recommendation GitHub open source community
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