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<p>Despite the widespread adoption of Web services in modern computing applications, there remains a lack of a systematic approach that can guide service developers in creating appealing services. This article addresses this gap by presenting findings from a comprehensive study of RapidAPI web services, the largest service marketplace, and their integration into GitHub-hosted applications. We collected data on over 16K RapidAPI services and 19K corresponding GitHub repositories invoking these services, evaluating each service based on metrics such as latency, reliability, pricing, followers, aggregate ratings community support, and provider support. Our analysis examines how these metrics influence service popularity and usage patterns on GitHub. We manually analyzed 800 GitHub repositories and identified developers’ service selection preferences and integration patterns, considering alternative services and their features. We then classified GitHub developers based on proficiency levels to understand how developers’ levels of proficiency impact their service selection and integration strategies. Moreover, we examined the metrics influence for matured set of repositories by excluding those intended solely for practice purposes. Our findings offer insights for service marketplaces to recommend integration-friendly services and for service developers to create offerings tailored to real-world application needs.</p>

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Towards a comprehensive understanding of web service integration: a large-scale empirical study from the developers’ perspective

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月22日

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  • Siddhi Baravkar,
  • Pratiksha Gaikwad,
  • Zhengquan Li,
  • Eli Tilevich,
  • Long Cheng,
  • Zheng Song

摘要

Despite the widespread adoption of Web services in modern computing applications, there remains a lack of a systematic approach that can guide service developers in creating appealing services. This article addresses this gap by presenting findings from a comprehensive study of RapidAPI web services, the largest service marketplace, and their integration into GitHub-hosted applications. We collected data on over 16K RapidAPI services and 19K corresponding GitHub repositories invoking these services, evaluating each service based on metrics such as latency, reliability, pricing, followers, aggregate ratings community support, and provider support. Our analysis examines how these metrics influence service popularity and usage patterns on GitHub. We manually analyzed 800 GitHub repositories and identified developers’ service selection preferences and integration patterns, considering alternative services and their features. We then classified GitHub developers based on proficiency levels to understand how developers’ levels of proficiency impact their service selection and integration strategies. Moreover, we examined the metrics influence for matured set of repositories by excluding those intended solely for practice purposes. Our findings offer insights for service marketplaces to recommend integration-friendly services and for service developers to create offerings tailored to real-world application needs.