一句话：指出通用情感分析工具在软件工程数据上不可靠，主张针对具体使用场景进行定制化。
情感分析已被用于多种软件工程任务，例如评估应用评论、分析提交信息中的开发者情绪。然而，现有研究显示，通用情感分析工具直接用于软件工程数据集时结果并不可靠，因为这些工具并非为处理此类数据而设计。本文围绕这一问题展开讨论，并提出成功应用情感分析工具的关键可能在于针对特定使用场景进行定制化，而非直接套用现成工具。摘要未给出具体定制方法或实验细节，但强调了面向上下文适配的必要性，为后续构建软件工程专用情感分析方案提供了方向。
Sentiment analysis has been applied to various software engineering (SE) tasks, such as evaluating app reviews or analyzing developers' emotions in commit messages. Studies indicate that sentiment analysis tools provide unreliable results when used out-of-the-box, since they are not designed to process SE datasets. The silver bullet for a successful application of sentiment analysis tools to SE datasets might be their customization to the specific usage context.
DOI 原文 ·
@inproceedings{paperbot4450,
title = {Sentiment analysis for software engineering},
author = {Bin Lin and Fiorella Zampetti and Gabriele Bavota and Massimiliano Di Penta and Michele Lanza and Rocco Oliveto},
booktitle = {ICSE},
year = {2018},
doi = {10.1145/3180155.3180195}
}