Ecosystem evolution analysis and trend prediction of projects in Android application framework

摘要: The application framework layer in the Android system consists of numerous project repositories, which rely on each other to form a co-evolving software ecosystem. Android's provides many useful APIs millions Apps, so its evolution will affect robustness and stability Apps. Code dependency analysis technology is common way analyze ecosystems. However, code size projects huge that ordinary methods are unacceptable due excessive resources required. In this paper, we propose an approach for trend prediction based subgraph network graph, order realize effective large-scale Based source data collected from AOSP, our proposed verified. results model show average values precision recall 90.0% 90.4% respectively, proves can well effective.