Scout-bot: Leveraging API Community Knowledge for Exploration and Discovery of API Learning Resources

G. Ajam, Carlos Rodríguez, B. Benatallah
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引用次数: 0

Abstract

Application Programming Interface (API) is a core technology that facilitates developers’ productivity by enabling the reuse of software components. Understanding APIs and gaining knowledge about their usage are therefore fundamental needs for developers. Here, API documentation plays a pivotal role in enabling developers to take full advantage of the benefits brought by APIs. The quality of API documentation has therefore become an important concern given the celerity and dynamics at which APIs are now being made available to users. This article aims at exploring existing research in the area of API documentation in order to identify the associated quality dimensions addressed by the literature. The research is carried out as a systematic mapping study where 103 research papers selected from the literature were reviewed and a total of 5 core quality dimensions were identified and analyzed. By focusing on the two most relevant quality dimensions (understandability and completeness), this article presents an approach to enable API users to explore, discover and learn about APIs through API topic issues discussed in Stack Overflow (SO). We demonstrate the feasibility of our approach through Scout-bot, our tool for exploration and discovery of API topic issues.
Scout-bot:利用API社区知识探索和发现API学习资源
应用程序编程接口(API)是一项核心技术,通过支持软件组件的重用来提高开发人员的工作效率。因此,理解api并获得有关其用法的知识是开发人员的基本需求。在这里,API文档在使开发人员能够充分利用API带来的好处方面起着关键作用。因此,考虑到现在向用户提供API的速度和动态,API文档的质量已经成为一个重要的关注点。本文旨在探索API文档领域的现有研究,以确定文献中涉及的相关质量维度。本研究采用系统的图谱研究方法,从文献中选取103篇研究论文进行综述,共确定并分析了5个核心质量维度。通过关注两个最相关的质量维度(可理解性和完整性),本文提供了一种方法,使API用户能够通过Stack Overflow (SO)中讨论的API主题问题来探索、发现和学习API。我们通过Scout-bot展示了我们方法的可行性,Scout-bot是我们用于探索和发现API主题问题的工具。
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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