Recommending Who to Follow in the Software Engineering Twitter Space
With the advent of social media, developers are increasingly using it in their software development activities. Twitter is also one of the popular social mediums used by developers. A recent study by Singer et al. found that software developers use Twitter to “keep up with the fast-paced development landscape”. Unfortunately, due to the general purpose nature of Twitter, it’s challenging for developers to use Twitter for their development activities. Our survey with 36 developers who use Twitter in their development activities highlights that developers are interested in following specialized software gurus who share relevant technical tweets. To help developers perform this task, in this work we propose a recommendation system to identify specialized software gurus. Our approach first extracts different kinds of features that characterize a Twitter user and then employs a two-stage classification approach to generate a discriminative model, which can differentiate specialized software gurus in a particular domain from other Twitter users that generate domainrelated tweets (aka domain-related Twitter users). We have investigated the effectiveness of our approach in finding specialized software gurus for four different domains (JavaScript, Android, Python, and Linux) on a dataset of 86,824 Twitter users who generate 5,517,878 tweets over one month. Our approach can differentiate specialized software experts from other domain-related Twitter users with an F-measure of up to 0.820. Compared with existing Twitter domain expert recommendation approaches, our proposed approach can outperform their F-measure by at least 7.63%.
Tue 12 NovDisplayed time zone: Tijuana, Baja California change
13:40 - 15:20 | Natural Language and Human AspectsResearch Papers / Demonstrations / Journal First Presentations at Cortez 2&3 Chair(s): Bogdan Vasilescu Carnegie Mellon University | ||
13:40 20mTalk | Discovering, Explaining and Summarizing Controversial Discussions in Community Q&A Sites Research Papers Xiaoxue Ren Zhejiang University, Zhenchang Xing Australia National University, Xin Xia Monash University, Guoqiang Li Shanghai Jiao Tong University, JianLing Sun Zhejiang University Pre-print | ||
14:00 20mTalk | Automating App Review Response Generation Research Papers Cuiyun Gao Nanyang Technological University, Singapore, Jichuan Zeng The Chinese University of Hong Kong, Xin Xia Monash University, David Lo Singapore Management University, Michael Lyu The Chinese University of Hong Kong, Irwin King The Chinese University of Hong Kong Pre-print | ||
14:20 20mTalk | Automatic Generation of Pull Request DescriptionsACM SIGSOFT Distinguished Paper Award Research Papers Zhongxin Liu Zhejiang University, Xin Xia Monash University, Christoph Treude The University of Adelaide, David Lo Singapore Management University, Shanping Li Zhejiang University Pre-print | ||
14:40 20mTalk | Recommending Who to Follow in the Software Engineering Twitter Space Journal First Presentations Abhishek Sharma Singapore Management University, Singapore, Yuan Tian Queens University, Kingston, Canada, Agus Sulistya School of Information Systems, Singapore Management University, Dinusha Wijedasa School of Information Systems, Singapore Management University, David Lo Singapore Management University Pre-print | ||
15:00 10mDemonstration | Developer Reputation Estimator (DRE) Demonstrations Sadika Amreen University of Tennessee Knoxville, Andrey Karnauch University of Tennessee Knoxville, Audris Mockus University of Tennessee - Knoxville | ||
15:10 10mDemonstration | CocoQa: Question Answering for Coding Conventions over Knowledge Graphs Demonstrations Tianjiao Du Shanghai JiaoTong University, Junming Cao Shanghai JiaoTong University, Qinyue Wu Shanghai JiaoTong University, Wei Li Shanghai JiaoTong University, Beijun Shen School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Yuting Chen Shanghai Jiao Tong University | ||