ForkXplorer:an approach of fork summary generation  

作　　者：Zhang ZHANG Xinjun MAO Chao ZHANG Yao LU 

机构地区：[1]Key Laboratory of Software Engineering for Complex Systems,College of Computer,National University of Defense Technology,Changsha 410073,China

出　　处：《Frontiers of Computer Science》2022年第2期1-15,共15页中国计算机科学前沿（英文版）

基　　金：This work was supported by the National Key Research and Development Program of China(2018YFB1004202).

摘　　要：Pull-based development has become an important paradigm for distributed software development.In this model,each developer independently works on a copied repository(i.e.,a fork)from the central repository.It is essential for developers to maintain awareness of the state of other forks to improve collaboration efficiency.In this paper,we propose a method to automatically generate a summary of a fork.We first use the random forest method to generate the label of a fork,i.e.,feature implementation or a bug fix.Based on the information of the fork-related commits,we then use the TextRank algorithm to generate detailed activity information of the fork.Finally,we apply a set of rules to integrate all related information to construct a complete fork summary.To validate the effectiveness of our method,we conduct 30 groups of manual experiment and 77 groups of case studies on Github.We propose Fea_(avg)to evaluate the performance of Fea_(avg)the generated fork summary,considering the content accuracy,content integrity,sentence fluency,and label extraction accuracy.The results show that the average of of the fork summary generated by this method is 0.672.More than 63%of project maintainers and the contributors believe that the fork summary can improve development efficiency.

关 键 词：open source software pull-based development fork summary distributed cooperative development 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]