How Traffic Replication and Automated Regression Supercharge Test Efficiency

Introduction

In fast‑moving internet product development, testing pressure rises sharply due to rapid iteration and strict accuracy requirements. Teams face high maintenance costs, slow regression, and uncertain test quality. The "Jingwei" automation platform was built to digitize the entire R&D workflow and address these pain points.

Maintaining Test Cases

2.1 HTTP Traffic Replication

Using a proxy tool such as mitmproxy, HTTP/HTTPS requests are captured, cleaned, and stored as seed test cases. The process includes configuring the proxy, forwarding captured requests to the automation platform, categorizing them by service, persisting them, and converting them into formal test cases.

2.2 Microservice Traffic Replication

A custom client plus configurable collection rules captures microservice request/response data. Steps include configuring rules on the management side, client pulling rules, writing matching traffic to local files, uploading to the platform, selecting traffic for regression, replaying, and generating reports.

2.3 Automatic Seed Case Generation

The platform integrates an API documentation management system that stores service metadata (versions, parameters, types, examples). It parses this metadata to generate seed cases automatically, greatly accelerating new case creation.

2.4 Benefit Assessment

Reduces case‑creation time by ~30% by eliminating manual capture.

Provides up‑to‑date interface definitions, cutting coordination time with developers.

Automated assertions and reporting boost test efficiency.

Automated Regression Testing

3.1 Interface Automation

Integrated with CI/CD, the platform detects changed service methods from API docs, triggers regression tasks, and runs relevant test cases.

Key steps: case recording → defining regression scope → creating full/incremental regression tasks → automatic execution after deployment → generating reports with pass rate, coverage, and recommendations.

3.2 Process Automation

The "Speed‑Up" platform (a one‑stop service publishing tool) enables composition of microservice or HTTP steps into reusable workflows. Users define step inputs, assertions, and create flow test cases, which are then executed manually or on a schedule.

Benefits include full‑coverage core scenario regression, closer alignment with real user actions, and continuous stability monitoring.

3.3 Regression Mechanisms

One‑click full or incremental regression after a service is released.

Scheduled automatic regression and daily health checks using cron expressions, with alerting on failures.

Improving Test Quality

4.1 Code Coverage

Code coverage measures the proportion of source code exercised by tests. The platform collects coverage data during regression runs and visualizes it.

4.2 Quality Gates

Based on the test pyramid, early defect detection reduces cost. The platform enforces unit‑test pass rate and coverage thresholds before allowing a build to proceed to full testing.

Steps: maintain unit tests → select services for testing → generate unit‑test tasks → execute and verify gate criteria → proceed to integration testing.

Conclusion and Outlook

The Jingwei platform, as a CI/CD foundation, ensures code is always release‑ready, improves delivery speed, and provides measurable quality gains. Future work will focus on deeper software‑metric analytics, continuous process optimization, and further stability breakthroughs.