A Large-scale Empirical Assessment of Web API Size Evolution

Author:

Lauro Fabio Di,Serbout Souhaila,Pautasso Cesare

Abstract

Like any other type of software, also Web Application Programming Interfaces (APIs) evolve over time. In the case of widely used API, introducing changes is never a trivial task, because of the risk of breaking thousands of clients relying on the API. In this paper we conduct an empirical study over a large collection of OpenAPI descriptions obtained by mining open source repositories. We measure the speed at which Web APIs change and how changes affect their size, simply defined as the number of operations. The dataset of API descriptions was collected over a period of one year and includes APIs with histories spanning across up to 7 years of commits. The main finding is that APIs tend to grow, although some do reduce their size, as shown in the case study examples included in the appendix.

Publisher

River Publishers

Subject

Computer Networks and Communications,Information Systems,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mapping APIs in Dynamic-typed Programs by Leveraging Transfer Learning;ACM Transactions on Software Engineering and Methodology;2024-04-18

2. APIstic: A Large Collection of OpenAPI Metrics;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15

3. GitHub-Sourced Web API Evolution: A Large-Scale OpenAPI Dataset;Lecture Notes in Computer Science;2024

4. Interactively Exploring API Changes and Versioning Consistency;2023 IEEE Working Conference on Software Visualization (VISSOFT);2023-10-01

5. Evolution of Web Application Programming Interfaces: Driving Forces, Effects on Clients, and Patterns for Providers;Èlektronnoe modelirovanie;2023-08-26

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