Full-Process Automated Testing Platform for Airline Ticket System: Design, Implementation, and Operations

The article introduces a full‑process automated testing platform aimed at improving the stability and quality of complex airline ticket business systems by linking multiple workflows and covering multiple client endpoints.

Background and Problem Analysis

Fault analysis revealed that a recent change to the pricing service caused an 80% failure rate for child ticket purchases due to missing data in the booking flow. Existing interface automation tests were isolated and failed to capture cross‑process dependencies.

Current Situation

Analysis of historical incidents showed that 25% of failures stemmed from incomplete process verification, with 67% of those occurring on the APP side.

Goals and Scope

The platform aims to automatically verify the primary P1/P2 services of the domestic airline ticket flow across all endpoints, thereby reducing defects and improving reliability.

Measurement

Key metrics include case coverage, case pass rate, execution time (<10 min), application coverage (100%), and project skip rate (<5%).

Implementation

Platform Construction

The platform consists of four core components: case acquisition, process linking, result validation, and quality gate.

Case acquisition pulls real user scenarios from the online system, stores matching rules, logs, and parameters in MongoDB, and indexes relevant data in Elasticsearch.

Process Linking

The system supports full‑business‑process coverage and multi‑endpoint execution (APP, PC, etc.) by routing all requests through the main system and using a preqtrace identifier to stitch together the end‑to‑end data.

Result Verification

Both assertion and diff methods are used; diff is preferred for the fast‑changing airline ticket domain, but a combined diff + assertion approach ensures accurate detection of both workflow and code issues.

Quality Gate

The quality gate ties projects to automated checks, supports both automatic and manual triggers, and notifies stakeholders of results.

Operational Mechanism

Daily monitoring, weekly data aggregation, and close collaboration with development teams drive continuous improvement.

Future Plans

Upcoming work includes increasing case coverage and concurrency, simplifying visual configuration, and extending the platform to support international main‑process linking.

Conclusion

Building a full‑process automated testing platform is crucial for enhancing system stability and quality; it enables comprehensive functional and performance verification, reduces defects, and provides a solid operational foundation for delivering reliable airline ticket services.