Geek Talents:Who are the Top Experts on GitHub and Stack Overflow?

• 作者: Jialiang Cao Suzanne McIntosh Waii Ng Yijun Tian
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 文学
• 关键词: DEVELOPER RECOMMENDATION collaborative FILTERING STACK OVERFLOW GitHub
• 年，卷（期）: 2019,（8）
• 页码范围: 465-479
• 页数: 15页
• 分类号: H31

摘要

In the field of Computer Science,software developers need to use a wide array of social collaborative platforms for learning and cooperating.The most popular ones are GitHub and Stack Overflow.Existing platforms only support search queries to extract relevant repository information from GitHub,or questions and answers from Stack Overflow.This ignores the valuable coder-related part-who are the top experts(geek talents)in a specific area?This information is important to companies,open source projects,and to those who want to learn from an expert role model.Thus,how to find the right developers is quite a crucial yet challenging problem.Most of the current works mainly focus on recommending experts in a particular software engineering task and ignore the relationship between developers within different projects.In this paper,we propose a novel technique that automatically identifies geek talents from GitHub,Stack Overflow,and across both communities.The results show that our work performs well at recommending proper developers in diverse areas.