Enriching API Documentation by Relevant API Methods Recommendation Based on Version History

Yuu Arimatsu, Yoshiya Ishida, Kunihiro Noda, Takashi Kobayashi
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Abstract

Application programming interfaces (APIs) enable developers to increase their productivity; however, developers have to expend much of their time to search API usages because API documentation often lacks some types of information such as co-use relationships between API methods or code examples. In this paper, we propose a technique to automatically generate enriched API documentation. Our technique identifies groups of relevant API methods by analyzing a software change history and inserts those into standard API documentation. Using our document, developers can easily find relevant API methods interactively according to their various development purposes.
基于版本历史的相关API方法推荐丰富API文档
应用程序编程接口(api)使开发人员能够提高他们的生产力;然而,开发人员不得不花费大量时间来搜索API用法,因为API文档通常缺乏某些类型的信息,例如API方法或代码示例之间的共同使用关系。在本文中,我们提出了一种自动生成丰富的API文档的技术。我们的技术通过分析软件变更历史来识别相关的API方法组,并将它们插入到标准API文档中。使用我们的文档,开发人员可以轻松地根据他们的各种开发目的交互式地找到相关的API方法。
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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