一句话：提出 Caspar，从应用评论中识别由用户动作与应用行为构成的交互故事。
应用评论常以“小故事”形式描述用户与应用的交互，这类交互故事在负面评分中尤为突出。每个故事至少包含两类事件：用户动作以及与之对应的应用行为。识别这些故事，可帮助开发者更好地维护和改进应用功能，并提升用户体验。Caspar 的目标就是从应用评论中自动识别此类交互故事。摘要未给出具体方法细节、评估数据集或实验结果。
A user's review of an app often describes the user's interactions with the app. These interactions, which we interpret as mini stories, are prominent in reviews with negative ratings. In general, a story in an app review would contain at least two types of events: user actions and associated app behaviors. Being able to identify such stories would enable an app's developer in better maintaining and improving the app's functionality and enhancing user experience.
DOI 原文 ·
@inproceedings{paperbot5552,
title = {Caspar},
author = {Hui Guo and Munindar P. Singh},
booktitle = {ICSE},
year = {2020},
doi = {10.1145/3377811.3380924}
}