How Developers and Tools Categorize Sentiment in Stack Overflow Questions - A Pilot Study

Niloofar Mansoor, Cole S. Peterson, Bonita Sharif
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引用次数: 1

Abstract

The paper presents results from a pilot questionnaire-based study on ten Stack Overflow (SO) questions. Eleven developers were tasked with determining if the SO question sentiment was positive, negative or neutral. The results from the questionnaire indicate that developers mostly rated the sentiment of SO questions as neutral, stating that they received little or no emotional feedback from the questions. Tools that were designed to analyze Software Engineering related texts (SentiStrength-SE, SentiCR, and Senti4SD) were on average more closely aligned with developer ratings for a majority of the questions than general purpose tools for detecting SO question sentiment. We discuss cases where tools and developer sentiment differ along with implications of the results. Overall, the sentiment tool output on the question title and body is more aligned with the developer rating than just the title alone. Since SO is a very common medium of technical exchange, we also report that adding code snippets, short titles, and multiple tags were top three features developers prefer in SO questions in order for it to be answered quickly.
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开发人员和工具如何在堆栈溢出问题中对情绪进行分类-一项试点研究
本文介绍了基于问卷调查的十个堆栈溢出(SO)问题的试点研究结果。11名开发者的任务是确定SO问题的情绪是积极的、消极的还是中性的。问卷调查的结果表明,开发者大多将SO问题的情绪评价为中性,即他们从问题中获得很少或没有情感反馈。设计用于分析软件工程相关文本的工具(SentiStrength-SE、SentiCR和Senti4SD)在大多数问题上平均比用于检测SO问题情绪的通用工具更接近开发人员评级。我们讨论了工具和开发人员的观点不同的情况,以及结果的含义。总的来说,情感工具在问题标题和正文上的输出更符合开发者的评级,而不仅仅是标题。由于SO是一种非常常见的技术交流媒介,我们还报告说,添加代码片段、简短标题和多个标签是开发人员在SO问题中最喜欢的三个特性,以便快速回答问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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