Bug Bash Practice Guide for Big Data Real‑Time Platform Teams

The Big Data Real‑time Platform department organized a Bug Bash activity to let new employees become proficient with core products, improve cross‑product understanding, and refine product functionality.

Bug Bash, literally a "defect sweep," is typically QA‑led; the whole team pauses regular work to concentrate on finding defects.

Benefits include supplementing regular testing by uncovering hidden bugs and new requirements, boosting team cohesion through friendly competition, and deepening product knowledge, thereby adding extra value.

Preparation : announce the event in the department group, define schedule, meeting rooms, and group divisions (e.g., JDQ, JRC, Integration Platform); prepare and review test cases with product managers and developers; set up test data and permissions.

Execution : schedule 10 minutes for introduction, 50 minutes for task execution, and 10 minutes for discussion; assign tasks across product groups (e.g., JRC members test JDQ and vice‑versa); allocate distinct test data to avoid conflicts; record issues in Joyspace with tester, time, and result; provide on‑site Q&A support for approval steps or unclear scenarios.

Conclusion : collect and de‑duplicate issues, classify them, and review with product owners to decide priority and improvement plans; the session uncovered 40 issues (2 functional bugs, ~30 improvement items mainly front‑end), leading to updated test cases.

Reflection : participants appreciated learning other products, realistic testing scenarios, and identified areas for improvement such as approval bottlenecks, limited time, and incentive mechanisms; suggestions include building a dedicated Bug Bash platform and expanding participation to external users.