The future of API analytics

IF 2 2区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Automated Software Engineering Pub Date : 2024-06-09 DOI:10.1007/s10515-024-00442-z

Di Wu, Hongyu Zhang, Yang Feng, Zhenjiang Dong, Ying Sun

引用次数: 0

Abstract

Reusing APIs can greatly expedite the software development process and reduce programming effort. To learn how to use APIs, developers often rely on API learning resources (such as API references and tutorials) that contain rich and valuable API knowledge. In recent years, numerous API analytic approaches have been presented to help developers mine API knowledge from API learning resources. While these approaches have shown promising results in various tasks, there are many opportunities in this area. In this paper, we discuss several possible future works on API analytics.

查看原文本刊更多论文

应用程序接口分析的未来

重复使用 API 可以大大加快软件开发过程，减少编程工作量。为了学习如何使用应用程序接口，开发人员通常依赖于包含丰富而有价值的应用程序接口知识的应用程序接口学习资源（如应用程序接口参考资料和教程）。近年来，人们提出了许多 API 分析方法来帮助开发人员从 API 学习资源中挖掘 API 知识。虽然这些方法在各种任务中取得了可喜的成果，但这一领域仍有许多机遇。在本文中，我们将讨论 API 分析未来可能开展的几项工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Automated Software Engineering 工程技术-计算机：软件工程

CiteScore

4.80

自引率

11.80%

发文量

审稿时长

>12 weeks

期刊介绍： This journal details research, tutorial papers, survey and accounts of significant industrial experience in the foundations, techniques, tools and applications of automated software engineering technology. This includes the study of techniques for constructing, understanding, adapting, and modeling software artifacts and processes. Coverage in Automated Software Engineering examines both automatic systems and collaborative systems as well as computational models of human software engineering activities. In addition, it presents knowledge representations and artificial intelligence techniques applicable to automated software engineering, and formal techniques that support or provide theoretical foundations. The journal also includes reviews of books, software, conferences and workshops.