Cross-status Communication and Project Outcomes in OSS Development–A Language Style Matching Perspective
Background. The success of an open source software (OSS) project requires effective communication among its members. Given that OSS projects often have established social status systems, much communication may happen between individuals of different statuses, particularly, elite developers who have project management privileges and ordinary project contributors. Since sociolinguistics literature and our prior work have found that groups in different status would be likely develop different language styles, which may hinder critical cross-status communication, and hereby influence the project’s outcomes. Objectives. We seek to develop an understanding of cross-status communication, as well as its impacts on an OSS project’s outcomes in terms of productivity and quality. The anticipated results describe the linguistic similarities and differences of cross-status communication and reveal the relationships between these linguistic similarities and differences and project outcomes. Method. We approach the above research objectives with the language style matching (LSM) tool which measures the similarities of cross-status communication in multiple language style features. For each sampled project, we first dynamically identify elite developers having project administration privileges. Then, we capture the cross-status communication between elite and non-elite developers; and calculate the LSM features of these two group of individuals. The LSM variables, together with project outcomes, will be used to fit regression models to analyze potential relationships between cross-status communication and project outcomes. Limitations. The study has several limitations. First, it considers project hosted on GITHUB only. Second, to ensure data availability, our sample is drawn from top projects, thus may not be able to represent all projects. Third, we only consider a limited number of linguistic variables.
Wed 19 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
02:00 - 02:50 | |||
02:01 4mTalk | Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions Technical Papers Sofonias Yitagesu Tianjin University, Xiaowang Zhang Tianjin University, Zhiyong Feng Tianjin University, Xiaohong Li TianJin University, Zhenchang Xing Australian National University Pre-print | ||
02:05 4mTalk | Attention-based model for predicting question relatedness on Stack Overflow Technical Papers Jiayan Pei South China University of Technology, Yimin Wu South China University of Technology, Research Institute of SCUT in Yangjiang, Zishan Qin South China University of Technology, Yao Cong South China University of Technology, Jingtao Guan Research Institute of SCUT in Yangjiang Pre-print | ||
02:09 4mTalk | Characterising the Knowledge about Primitive Variables in Java Code Comments Technical Papers Mahfouth Alghamdi The University of Adelaide, Shinpei Hayashi Tokyo Institute of Technology, Takashi Kobayashi Tokyo Institute of Technology, Christoph Treude University of Adelaide Pre-print | ||
02:13 4mTalk | Googling for Software Development: What Developers Search For and What They Find Technical Papers Andre Hora UFMG Pre-print Media Attached | ||
02:17 3mTalk | Evaluating Pre-Trained Models for User Feedback Analysis in Software Engineering: A Study on Classification of App-Reviews Registered Reports Mohammad Abdul Hadi University of British Columbia, Fatemeh Hendijani Fard University of British Columbia Pre-print | ||
02:20 3mTalk | Cross-status Communication and Project Outcomes in OSS Development–A Language Style Matching Perspective Registered Reports Yisi Han Nanjing University, Zhendong Wang University of California, Irvine, Yang Feng State Key Laboratory for Novel Software Technology, Nanjing University, Zhihong Zhao Nanjing Tech Unniversity, Yi Wang Beijing University of Posts and Telecommunications Pre-print | ||
02:23 27mLive Q&A | Discussions and Q&A Technical Papers |
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