LiFUSO: A Tool for Library Feature Unveiling based on Stack Overflow Posts

Camilo Velázquez-Rodríguez, Eleni Constantinou, Coen De Roover
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Abstract

Selecting a library from a vast ecosystem can be a daunting task. The libraries are not only numerous, but they also lack an enumeration of the features they offer. A feature enumeration for each library in an ecosystem would help developers select the most appropriate library for the task at hand. Within this enumeration, a library feature could take the form of a brief description together with the API references through which the feature can be reused. This paper presents LiFUSO, a tool that leverages Stack Overflow posts to compute a list of such features for a given library. Each feature corresponds to a cluster of related API references based on the similarity of the Stack Overflow posts in which they occur. Once LiFUSO has extracted such a cluster of posts, it applies natural language processing to describe the corresponding feature. We describe the engineering aspects of the tool, and illustrate its usage through a preliminary case study in which we compare the features uncovered for two competing libraries within the same domain. An executable version of the tool is available at https://github.com/softwarelanguageslab/lifuso and its demonstration video is accessible at https://youtu.be/tDE1LWa86cA.
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LiFUSO:一个基于堆栈溢出帖子的图书馆特性揭示工具
从庞大的生态系统中选择一个库可能是一项艰巨的任务。这些库不仅数量众多,而且还缺乏它们提供的特性的枚举。生态系统中每个库的特性枚举将帮助开发人员为手头的任务选择最合适的库。在这个枚举中,库特性可以采用简短描述和API引用的形式,通过API引用可以重用该特性。本文介绍了LiFUSO,一个利用Stack Overflow posts来计算给定库的此类特性列表的工具。每个特性都对应于一组相关的API引用,这是基于它们出现的Stack Overflow帖子的相似性。一旦LiFUSO提取了这样一组帖子,它就会应用自然语言处理来描述相应的特征。我们描述了该工具的工程方面,并通过一个初步的案例研究说明了它的用法,在这个案例研究中,我们比较了同一领域中两个相互竞争的库所揭示的特性。该工具的可执行版本可在https://github.com/softwarelanguageslab/lifuso上获得,其演示视频可在https://youtu.be/tDE1LWa86cA上访问。
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