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Amid China's push for digital transformation, ICBC's Software Development Center tackles testing inefficiencies by introducing a precision testing framework that leverages coverage analysis, call‑chain tracing, and AI‑driven test‑case recommendation to boost quality, reduce defects, and accelerate delivery.
This article describes the purpose, design choices, instrumentation technique, data collection, reporting, merging strategies, platform features, and future plans of a custom code‑coverage system built for the Android and iOS versions of the Zhuanzhuan app, highlighting challenges such as accurate instrumentation, performance impact, and multi‑tag data aggregation.
This article presents a comprehensive approach to assess code change impact, improve test efficiency and quality, and automatically recommend test cases by leveraging JGit, class parsing, BCEL analysis, coverage metrics, interface prioritization, and automation integration.