一句话：提出自动采集团队沟通、识别情绪强度并建模为时间序列的方法，支持软件开发中的情绪动态研究。
情绪感知对人际沟通至关重要，软件开发情境亦不例外。现有软件工程研究多将情绪视为孤立状态，忽视其动态性。本文提出一种研究软件开发中情绪动态的方法：自动收集项目团队沟通记录，识别其中的情绪及其强度，将情绪动态建模为时间序列，并提供高效数据管理。作者利用 GitHub 上 IPython 项目数据，展示该方法可通过自动化数据采集、建模、存储、分析和呈现，为各类情绪感知研究与实践提供端到端支持。这有助于软件工程社区从动态视角理解团队情绪。
Emotion awareness is critical to interpersonal communication, including that in software development. The SE community has studied emotion in software development using isolated emotion states but it has not considered the dynamic nature of emotion. To investigate the emotion dynamics, SE community needs an effective approach. In this paper, we propose such an approach which can automatically collect project teams' communication records, identify the emotions and their intensities in them, model the emotion dynamics into time series, and provide efficient data management. We demonstrate that this approach can provide end-to-end support for various emotion awareness research and practices through automated data collection, modeling, storage, analysis, and presentation using the IPython's project data on GitHub.
DOI 原文 ·
@inproceedings{paperbot5280,
title = {An Approach for Investigating Emotion Dynamics in Software Development},
author = {Krishna Neupane},
booktitle = {ASE},
year = {2019},
doi = {10.1109/ase.2019.00158}
}