In the era of knowledge sharing, discover 转转QA from a new perspective.
This article introduces JVM‑Sandbox, explains its non‑intrusive AOP capabilities, and provides a step‑by‑step tutorial on installing the sandbox, loading custom modules, performing code enhancement via instrumentation, and testing exception injection in a Java service.
This article outlines how QA can proactively join technical design reviews, detailing the required documentation, preparation steps, thinking methods, impact assessment, and testability improvements to ensure higher delivery quality and better collaboration among product, development, and testing teams.
This article explains how to set up remote debugging for services in sandbox or test environments, covering remote creation, locating debug ports, constructing JVM arguments, checking service status, stopping services, and useful alias commands to streamline the debugging process.
This article explains the stages of code errors, the significance of learning debugging for QA, introduces various breakpoint types and their settings, demonstrates a factorial sum debugging case, and provides practical tips such as conditional breakpoints and expression evaluation to efficiently locate and resolve runtime issues.
This article details a step‑by‑step investigation of Java service log garbled‑character problems caused by incorrect LC_CTYPE and locale settings, describing how environment variable synchronization via SSH led to ASCII encoding defaults and outlining preventive configurations for both client and server.
This article explains the business‑driven need for regular load‑testing in e‑commerce, outlines the preparation steps, compares onsite, scheduled and hybrid testing approaches, and shares practical results and future plans for achieving efficient, low‑cost, and reliable performance verification.
The article describes how Beetle’s development workflow was improved by using GitLab webhooks to automatically publish JAR packages, trigger compilation, deployment, and CI checks, while notifying users via enterprise WeChat, thereby reducing manual steps and waiting time for developers and testers.
This article explains how systematic data construction, using a low‑code front‑end and Java back‑end platform, streamlines complex test scenarios, reduces manual effort, and enhances both testing efficiency and code quality across multiple business systems.
This article explains how to improve overall delivery efficiency by systematically breaking down testing tasks, setting realistic schedules based on clear goals, preparation steps, granular time estimates, dependency considerations, and post‑execution reviews, while emphasizing a target testing effort not exceeding half of development time.
This article presents a comprehensive case study of how the ZhuangZhuang QA team designed, built, and deployed a payment verification tool to automate and accelerate testing of complex e‑commerce payment scenarios, detailing the business background, requirements analysis, system architecture, core functionalities, generic service invocation, and measurable efficiency gains.
