In the era of knowledge sharing, discover 转转QA from a new perspective.
This article describes the challenges of custom‑heavy game business workflows and manual data‑construction testing, then presents an initial and a refined solution that automates data generation across multiple game titles, reduces coupling, and improves efficiency and cost for backend operations.
This article details a UI automation regression framework for mobile event tracking, covering background challenges, Android and iOS log collection methods, H5 integration strategies, performance comparisons, and practical recommendations to improve testing efficiency by about 50%.
This article explains how ZheZhe leverages Jenkins as an open‑source, plugin‑rich CI scheduler to classify projects, manage unified build scripts and config files, orchestrate job creation, execution, and cleanup, and scale a mixed Linux/macOS build farm supporting thousands of daily compilations.
This article describes how QA engineers automated the repetitive Excel‑based mapping and validation process of a valuation system by using Python pandas scripts to filter, compare, and export data, reducing manual effort from ten minutes to under one minute while improving accuracy and coverage.
The article describes Luban, a scalable build management platform that provides generic, extensible packaging, template‑based configuration, automatic and manual trigger mechanisms, result storage, and integrated release capabilities to support continuous delivery of multiple mobile applications within Zhuanzhuan.
This article describes a solution that merges incremental unit test coverage into overall test environment coverage by leveraging Maven Surefire Report Plugin and JaCoCo, detailing steps from CI platform integration, plugin configuration, report generation, to coverage platform processing, enabling comprehensive coverage analysis for release admission.
This article describes how a mobile UI test framework was extended with Python scripts, configuration files, and an Enterprise WeChat robot to automate AB‑test validation across Android and iOS, reducing manual effort and improving efficiency by more than 50 percent.
This article introduces tidevice, an open‑source tool that enables iOS automation on Windows, Linux, and macOS by providing device information, app management, WebDriverAgent control, performance data collection, and various command‑line and Python APIs, along with detailed installation steps and integration advice.
This article explains how ZhiZhuan's mixed Flutter‑native app architecture is incorporated into the Beetle DevOps platform, detailing Beetle's branch types, the release process for Flutter modules, and component management strategies that improve multi‑module coordination and deployment quality.
This article outlines Zhuanzhuan's systematic approach to collecting, classifying, and resolving online user issues through weekly QA‑led meetings, detailed problem categorization, and targeted solutions, ultimately improving product design, reducing repetitive work, and enhancing overall operational efficiency.
