Intelligent Delivery System: Practices for Efficient Continuous Integration and Testing in Web Business Lines

The article outlines the difficulties faced by large‑scale web business lines, including complex inter‑team dependencies, frequent releases, and inefficient testing, and introduces a comprehensive intelligent delivery system to address these issues.

Process Standardization : A unified R&D workflow (FcFlow) with three branch types—development, trunk, and release—ensures consistent code integration, reduces cross‑project interference, and provides a solid data foundation for digital transformation.

Data‑Enabled Testing Platform : By linking requirements, code, and build stages through internal tooling, the team creates a testing middle‑platform that automates environment provisioning, generates impact analysis reports, and produces incremental coverage metrics, dramatically improving test efficiency and accuracy.

Environment Automation : A shared base environment combined with selective module deployment reduces deployment time, raises success rates from 85% to 95%, and cuts resource usage by over 50%, enabling rapid, reliable test environment creation.

Testing Intelligence : Automated test case selection, intelligent CI pipelines, and lifecycle‑aware test management minimize redundant test execution, improve stability from 70% to 87%, and halve execution time, while risk‑based project scoring makes quality visibility actionable.

Results : Release frequency increased from once to twice per week, RB cycle shortened from two days to one, autonomous testing share rose from 25% to 60%, and the 80th‑percentile delivery cycle dropped by 30%.

Conclusion : Establishing tailored R&D processes, automating environments, and integrating data‑driven testing are key to achieving intelligent, high‑efficiency delivery, though further digitalization opportunities remain.