The evolution analysis on Web service ecosystems has become a critical problem as the frequency of service changes on the Internet increases rapidly. Developers need to understand these evolution patterns to assist in their decision-making on service selection. ProgrammableWeb is a popular Web service ecosystem on which several evolution analyses have been conducted in the literature. However, the existing studies have ignored the quality issues of the ProgrammableWeb dataset and the issue of service obsolescence. In this study, we first report the quality issues identified in the ProgrammableWeb dataset from our empirical study. Then, we propose a novel method to correct the relevant evolution analysis data by estimating the life cycle of application programming interfaces (APIs) and mashups. We also reveal how to use three different dynamic network models in the service ecosystem evolution analysis based on the corrected ProgrammableWeb dataset. Our experimental experience iterates the quality issues of the original ProgrammableWeb and highlights several research opportunities.

随着互联网上服务变化频率的快速增加，对Web服务生态系统的演化分析已经成为一个关键问题。开发人员需要了解这些演进模式，以帮助他们做出服务选择的决策。ProgrammableWeb是一种流行的 Web 服务生态系统，在文献中已经对其进行了多次演化分析。然而，现有的研究忽略了ProgrammableWeb数据集的质量问题和服务过时的问题。在本研究中，我们首先报告ProgrammableWeb 中发现的质量问题来自我们实证研究的数据集。然后，我们提出了一种通过估计应用程序编程接口 (API) 和混搭的生命周期来纠正相关进化分析数据的新方法。我们还揭示了如何在基于修正的ProgrammableWeb数据集的服务生态系统演化分析中使用三种不同的动态网络模型。我们的实验经验重复了原始ProgrammableWeb的质量问题，并突出了几个研究机会。