This article explains how the JD.com "Jingxi" mini‑program uses the official miniprogram‑automator SDK to build an automated disaster‑recovery testing workflow that launches the devtools, simulates user actions, intercepts network requests, generates screenshots, and validates fallback behavior with manual comparison.
The author shares a first‑hand account of a newly launched backend project, explaining how strict coding standards, Groovy‑Java mixed development, and a pragmatic testing strategy—including limited unit testing, interface checks, and annotation‑based validation—enabled rapid bug resolution and a smooth release.
This guide walks you through installing Node.js, creating a project directory, installing Cypress via npm, launching the tool, and understanding its default file structure, providing clear step‑by‑step instructions and screenshots for a smooth setup.
The article explains why programming has become essential for software testers, compares Java and Python for automation, and offers practical ways—continuous coding, problem‑solving on OJ platforms, and project practice—to steadily improve coding ability.
The article shares practical experiences on running test cases concurrently using Java multithreading and a custom thread pool, and outlines MySQL database naming, null handling, and schema design guidelines, including full code examples for the case runner and thread pool implementation.
The article explains how to isolate testing scenarios and choose appropriate testing methods for various business contexts—storefront changes, order processing, and cross‑platform integrations—by establishing baseline data, comparing results, and leveraging tools like YApi to improve quality and efficiency.
Learn step-by-step how to set up and test multiple data sources in a Spring Boot application using MyBatis, covering property configuration, DataSource beans, mapper scanning, entity definitions, and verification through unit tests with complete code examples and key configuration notes.
This guide explains why Linux is essential for software testers, outlines how to build test environments, use key commands like tail, grep, top, and vmstat for log analysis and performance monitoring, and offers tips for deeper Linux learning and interview preparation.
This article details the Agricultural Bank’s Distributed Application Interconnection (AIR) platform’s DevOps journey, covering small‑granularity development, comprehensive configuration management, end‑to‑end automated pipelines, advanced testing automation, metric‑driven improvements, and the successful third‑level continuous delivery assessment across multiple projects.
This guide explains step‑by‑step how to set up two separate databases in a Spring Boot application, configure Spring Data JPA for each, create the necessary configuration classes, and verify the setup with a simple integration test.
Despite pandemic‑induced remote work challenges, the author details progress on implementing test case management, focusing on MyBatis resultMap usage, bean and database design complexities, and provides the full XML mapping and SQL query for retrieving detailed test case information.
This article explains a practical approach to validate test‑account login status by using a special syntax, per‑user locking, and thread‑safe caching to avoid repeated logins, while discussing transaction isolation levels and propagation settings needed for reliable backend testing.
The article walks through creating a test management platform using Spring Boot, mockJS, and custom MyBatis TypeHandlers to store public data as JSON arrays, detailing the data model, handler implementations, and full mapper XML configuration for CRUD operations.
This guide outlines why manual testing can’t fully replace automation, then walks you through seven concrete steps—including data preparation, API testing, and web UI automation using tools like MySQL, Redis, SOAP UI, Postman, and Selenium with Java or Python—to become a proficient automation test engineer.
This article explains the RIB (Router‑Interactor‑Builder) architecture for iOS, detailing its core components, how to generate and connect them with Xcode templates, manage navigation, inject dependencies, write unit tests with mock generation, and integrate the whole structure into a root RIB for a production‑ready app.
This guide explains how to structure a Maven project to run unit tests and integration tests separately, configure the Build Helper, Surefire, Failsafe, and JaCoCo plugins, and generate combined test reports that can be visualized in SonarQube.
This article explains how to construct a precise testing system for Java services by combining java‑callgraph for call‑graph extraction, Neo4j for graph storage, and Jenkins with Overmind for automated diff analysis and report generation, detailing architecture, tool setup, scripts, and integration steps.
This article outlines a five‑stage Laravel learning path, covering simple CRUD operations, database factories and seeders, form validation with request classes, browser automation testing with Dusk, and the application of design patterns to build robust backend applications.
This article explains how to extend the Moco mock server with custom delay handlers so that developers can simulate API responses that take longer than five seconds, including sample usage, wrapper methods, and the full implementation of a DelayHandler class in Java.
This article presents IAET, an intelligent Android exploration tool that detects UI elements, applies graph‑based traversal algorithms with similarity optimizations, implements a bridge using UiAutomator and app_process, and demonstrates superior crash‑detection and activity‑coverage performance compared with the APE benchmark across major Chinese apps.
The article argues that while code‑assisted (automation) testing is gaining popularity, its effectiveness depends on solid testing fundamentals, domain knowledge, and a balanced integration of manual and automated techniques rather than over‑relying on scripts alone.
The article explains why UIAutomator 1.0 scripts fail on the Android R emulator due to a missing android.test.RepetitiveTest class, analyzes the stack trace to locate the error in UiAutomatorTestRunner, and provides a workaround by manually initializing the test framework via app_process.
This article outlines frequent programming errors—such as trusting user input, skipping tests, neglecting documentation and logs, hard‑coding values, ignoring rest, and failing to keep learning—and offers practical advice to prevent them and improve software reliability.
This comprehensive tutorial walks you through installing PyCharm, creating and running Python projects, debugging, testing, navigating large codebases, integrating version control, using plugins and external tools, and exploring professional features like Django support, all illustrated with step‑by‑step screenshots and shortcuts.
JMock is a zero‑configuration, intelligent mocking platform that simplifies service dependency testing for backend applications by providing Maven‑based SDK integration, automatic environment detection, configurable mock switches, diverse data sources, and automatic data generation to accelerate development and reduce testing overhead.
This article presents a comprehensive front‑end performance checklist covering network optimizations like OCSP stapling, IPv6 adoption, HTTP/2 deployment, HTTP/3 readiness, HPACK compression, security hardening, testing workflows, continuous monitoring, and quick‑win tactics to dramatically improve page load times and user experience.
This article details how CTrip's flight app transitioned to React Native and adopted BDD-driven CI/CD, introducing parallel linting, unit testing, automated publishing, a mock data platform, distributed UI automation, and multi‑process frameworks to achieve 95% test coverage, minute‑level execution times, and significantly reduced release costs.
This article walks through setting up a comprehensive testing workflow for a Node.js backend, covering Jest configuration, unit and integration tests with SuperTest, in‑memory MongoDB, login helpers, mocking, snapshot testing, coverage reporting, CI integration, and the adoption of TDD/BDD practices.
This article provides a comprehensive overview of Laravel, covering its definition, advantages over other PHP frameworks, core components such as migrations, facades, service container, Eloquent models, events, query builder, route naming, closures, testing techniques, traits, autoloading, generators, and various PHP language features with practical code examples.
This article demonstrates how to quickly generate large volumes of test data for a MySQL table using the open‑source mysql_random_load_data tool, describing the setup, performance, and advantages over traditional stored procedures or custom scripts.
This guide explains how to use Laravel seeders to generate test data, covering creation of seeder classes via Artisan, inserting records manually or with model factories, calling additional seeders, and the commands needed to run or refresh database seeding.
Even with thorough testing environments, bugs often surface in production due to missing continuous monitoring, rushed last‑minute releases, inadequate compatibility checks, data inconsistencies, outdated QA practices, lack of shared goals, and microservice deployment challenges, highlighting the need for robust, production‑mirroring QA processes.
This article shares Ant Design’s multi‑year open‑source project operation experience, covering project documentation, website setup, code style, unit testing, CI services, release workflow, issue/PR templates, Git tips and community‑driven growth strategies for a frontend UI library.
This article compiles sixteen practical Spring Boot best‑practice recommendations—ranging from custom BOM management and auto‑configuration to test slicing and externalized configuration—drawn from years of professional experience and expert insights, to help developers build cleaner, more maintainable micro‑service applications.
This article explains JaCoCo's mission to provide a lightweight, flexible, and well-documented Java code‑coverage library, outlines its core features, integration options with build tools and IDEs, and details the various coverage counters such as instructions, branches, lines, methods, classes, and cyclomatic complexity.
This guide explains what the MySQL Test framework is, how to set up the required environment on Ubuntu, install dependencies and MySQL source, configure and compile the test suite, and demonstrates creating and running a simple test case with detailed command‑line examples.
The article uses the simple task of buying apples to illustrate why programming is challenging, highlighting the need for thorough analysis, exhaustive testing, handling edge cases, and continuously refining processes to avoid bugs and unexpected failures.
The article explains how to write clean, expressive code by defining dirty versus clean code, presenting expert guidelines on naming, commenting, function design, and testing, and illustrating each point with concrete good and bad code examples.
This article guides Java developers on creating a comprehensive interface testing project using the FunRequest framework, covering reusable utilities, request/response handling, and detailed code examples for HTTP GET and POST operations, while also providing links to related tutorial videos.
This article demonstrates how to handle HTTP headers and cookies within the FunTester automated testing framework, providing step-by-step explanations, video references, and a complete Java code example that shows registering users, developer login, and request execution using Apache HttpClient.
This article continues the FunTester series by detailing the core functionality for sending HTTP requests, handling headers and cookies, parsing responses into JSON, and returning structured results, complete with practical Java code examples and step‑by‑step explanations.
Amid the pandemic‑driven surge in online video demand, Alibaba Youku built a comprehensive real‑time data quality assurance system—covering data content, consistency, correctness, availability, timeliness, performance testing, and automated intervention—to ensure that billions of video search results are delivered accurately and efficiently.
This guide walks you through configuring JaCoCo agent parameters, running Ant tasks to produce a jacoco.exec file, and generating detailed HTML coverage reports, including class and line‑level insights, with practical command examples and visual explanations.
The article reflects on Youzan’s testing team evolution, from its late start in 2014 to hiring code‑savvy testers, role consolidation, long‑term value thinking, and how these practices shaped a high‑quality engineering culture, while also announcing their newly published ebook.
The article explains Android's Monkey tool—a command‑line utility for emulator or device testing—detailing its basic syntax, the five categories of options, specific parameters for configuration, event types, constraints, debugging, hidden settings, and how to capture logs.
This article outlines a detailed software development workflow—including requirement review, technical design review, coding, code review, testing, deployment, and post‑release retrospection—providing practical checklists, templates, and best‑practice recommendations to improve product quality and team efficiency.
Segment’s engineering team recounts their evolution from a simple monolith to a sprawling micro‑service ecosystem and back again, detailing queue bottlenecks, repo fragmentation, shared‑library chaos, and how consolidating everything into a single codebase restored performance, scalability, and developer productivity.
To ensure stability and precision of Alibaba Youku’s massive video‑search platform, a three‑layer quality‑assurance framework was built—covering engineering regression and functional/effect monitoring, algorithmic data, UDF, feature‑column and index testing, effect baselines and impact assessment, plus user‑experience bad‑case mining and public‑opinion feedback loops.
The article explains the Shift‑Left testing approach, its origins from traditional waterfall models, how moving testing earlier in the software development lifecycle empowers test teams, lowers defect‑fix costs, enhances product quality, and integrates with DevOps and continuous testing practices.
This article introduces Appium, an open‑source cross‑platform mobile automation tool, and provides a step‑by‑step guide to set up the Android development environment, install the Appium server (both CLI and desktop), and configure Python with the Appium‑Python client, including necessary code snippets.
This guide explains how to install Redis, configure it within a Spring Boot application, define custom Redis helper interfaces and implementations, and demonstrates testing and practical usage of caching annotations for efficient data retrieval.
This step‑by‑step guide shows how to install the Android SDK, configure Java JDK, install Appium, and write Python code to automate the WeChat app on Android devices, including common pitfalls and practical solutions.
This tutorial demonstrates how to use Selenium with Python for explicit waits, page scrolling, zooming via CSS transforms, retrieving element size and coordinates, disabling JavaScript through Firefox profiles, and configuring manual proxy settings, providing complete code examples for each technique.
This article explains how beginners can build a Python-based tool to automatically generate mock XML test data for various industries, covering the creation of XML nodes using ElementTree's append and SubElement methods, structuring multi-level XML files, and handling file storage and server upload.
This article provides a step‑by‑step guide for automating cross‑browser web tests using Selenium with Python, covering fixture setup, CSS and XPath selectors, handling dropdowns, checkboxes, mouse hover actions, tab management, and extracting page source, all illustrated with complete code examples.
This article explains how DevOps expands the tester's responsibilities beyond traditional bug detection to include coding skills, continuous collaboration, higher engagement, process optimization, and a focus on automation while emphasizing the continued need for skilled manual testing.
This article walks through the transformation of an online supermarket from a simple monolithic website to a fully fledged microservice architecture, highlighting the motivations, design decisions, common pitfalls, and essential components such as monitoring, tracing, logging, gateways, service discovery, circuit breaking, testing strategies, and service mesh adoption.
This article introduces five relatively unknown testing tools—including Endtest, Postman, Apache JMeter, Grabber, and Litmus—detailing their key features and how they can help improve automation, API, performance, security, and email testing workflows.
This article explains how to create a Babel plugin that removes console calls in production builds while extending console methods with styled output and source location information in development, covering installation, configuration, AST manipulation, option validation, and comprehensive testing using TypeScript, ts‑mocha, and chai.
This article explains how to design and implement a TypeScript utility package with complex type declarations for functions like setDefaults and getProperty, demonstrates unit testing using ts‑mocha and chai, and details the compilation and packaging process for CommonJS, ES modules, type declarations, and UMD bundles using Rollup.
The article outlines ZheZhe's live streaming system for e‑commerce, describing its recording‑encoding‑transmission‑decoding‑playback architecture, key testing areas such as stream quality, messaging and business functions, and the automated solutions—including a message‑simulation service and Python‑Puppeteer checks—implemented to improve reliability and efficiency.
This article presents a practical checklist for securing web applications, covering unit testing, access control, change tracking, admin privilege management, least‑privilege principles, remote redundancy, monitoring, encryption, automated security scanning, and SQL injection prevention, offering actionable guidance for developers.
This guide explores Go's engineering-friendly features—including gofmt, built‑in profiling, unit testing, coverage, and documentation practices—while also covering performance tuning, garbage‑collector evolution, language versioning, and the upcoming Go2 transition to help developers build robust server applications.
Youzan’s Efficiency Improvement team applied lean manufacturing principles and DevOps practices—quantifying technical debt, automating high‑coverage unit tests, streamlining continuous integration, and fostering a culture with visual CI indicators—to eliminate waste, accelerate integration cycles, and markedly boost overall software development efficiency.
This article explains how to extend a testing framework with a FunRequest class that records HTTP request and response details, provides fluent setters, supports GET and POST, and enables saving and reproducing requests for faster bug diagnosis.
This article explains Laravel Facades as static-like interfaces to the service container, shows how to define and use them, compares them with dependency injection and helper functions, and demonstrates testing techniques including real‑time facades with comprehensive code examples.
This project addresses challenges in brand advertising testing by implementing automated testing, monitoring, and data construction solutions, significantly improving efficiency, reducing manual effort, and enhancing product quality through real-time issue detection and resolution.
This guide shows how to generate GitHub badges with shields.io, write unit tests using AVA, measure coverage with nyc, report results to Codecov, and automate the whole process with Travis CI, providing a complete CI/CD workflow for Node.js projects.
This article outlines the essential basic and advanced tools—including IDEs, version control, CI servers, testing frameworks, build systems, containerization, and Linux—that Java developers should master in 2019 to improve productivity and code quality.
This article compares four popular Java testing frameworks—JUnit, JBehave, Selenide, and Spock—examining their prerequisites, strengths, weaknesses, and ideal use cases when integrated with Selenium WebDriver for UI and BDD testing.
This guide outlines common tester‑developer interaction scenarios, highlights typical mistakes, and provides step‑by‑step best‑practice responses to improve bug reporting, collaboration, and overall software quality assurance processes.
The 3rd Hangzhou Testing Salon, part of Youzan’s eighth technical series, featured Youzan leaders discussing continuous‑delivery product evolution, platform design, and cost‑effective testing environments, with videos and PPT available, while future Alibaba and KuJia sessions will be announced soon.
This article provides a thorough tutorial on using Spring‑Kafka, covering basic Maven setup, producer and consumer code, embedded Kafka for testing, programmatic topic creation, synchronous and asynchronous message sending, transaction handling, request‑reply patterns, advanced @KafkaListener options, manual acknowledgments, lifecycle control, message forwarding with @SendTo, and retry with dead‑letter queues.
The article explains the three-tier testing hierarchy (unit, interface, UI), the recommended test size distribution, mandatory versus optional test types, and how to implement automated unit testing within a DevOps workflow using version control, build tools, test frameworks, and feedback platforms.
This article presents a comprehensive, practice‑oriented overview of Domain‑Driven Design, covering its conceptual foundations, project‑level management, architectural layering, design patterns, implementation techniques with Java/Spring, testing, continuous integration, and deployment strategies for enterprise applications.
This article distills key principles from "Clean Code", covering how expressive naming, well‑structured functions, and disciplined testing together raise code readability, maintainability, and reliability, while providing concrete examples and actionable guidelines for everyday programming.
This article explains how JUnit assertions—such as assertEquals, assertTrue, assertFalse, assertNull, and the newer assertAll and assertThrows—are used in Selenium automation to verify test outcomes, differentiate hard and soft assertions, and compare JUnit 4 and JUnit 5 features.
This article shares JD's front‑end team's experience engineering large‑scale mini programs, covering standards, single‑page extraction, code duplication removal, automated testing with a sandbox, package‑size optimization, smart splitting, conditional compilation, and a continuous‑integration pipeline that together address the challenges of rapid growth and release complexity.
This article demonstrates how to leverage uiautomator1.0 for Android automation by creating a shell‑based Context, accessing PackageManager, managing SQLite databases, monitoring app activities and processes, and implementing Chinese text input through AccessibilityNodeInfo.
This tutorial walks through writing and running unit and integration tests for a Spring Boot application, covering JUnit and Hamcrest assertions, Maven setup, model definitions, service and controller implementations, MockMvc usage, and both mocked and real‑world test scenarios, complete with sample code and output.
This article translates and summarizes the key software engineering practices at Google, covering their unified source repository, build system, code ownership, automated testing, code review process, error tracking, language policies, debugging tools, release engineering, project and personnel management, and training, illustrating how these practices contribute to the company's success.
This article explores common pitfalls in defining technical testing KPIs, distinguishes between platform‑integration and atomic‑capability goals, and provides a step‑by‑step framework for aligning objectives, metrics, and implementation plans to drive measurable quality improvements.
This article walks through creating a lightweight Mocha‑like testing framework in JavaScript, covering BDD‑style APIs, directory layout, suite and test class design, hook handling, asynchronous support, a runner that traverses the suite‑test tree, and a reporter that outputs test results.
This article introduces a reusable Java verification utility class designed for automated testing, detailing its structure, key methods for code validation, value extraction, type checks, and JSON parsing, and provides the full source code for developers to integrate and extend in their projects.
This guide walks through configuring JMeter to connect to MySQL and Oracle databases via JDBC, covering driver installation, JMeter component setup, request creation, result verification, and troubleshooting common connection errors for performance testing.
This article details how a high‑traffic trading app migrated from Node.js to Go, outlining Go's advantages, drawbacks, and the team's engineering practices—including environment management, dependency handling, efficiency tools, standardized libraries, testing, monitoring, and distributed tracing—to achieve robust, high‑performance backend services.
This article walks you through creating a Quarkus‑based microservice with REST endpoints, input validation, unit testing, inter‑service communication, health checks, Swagger UI, local execution, and finally deploying the services to OpenShift using S2I and native image builds.
This article walks through the transition of an online supermarket from a simple monolithic web application to a fully fledged microservice architecture, highlighting the challenges, design decisions, component choices, monitoring, tracing, testing, and operational practices needed for a robust, scalable system.
This tutorial shows how to use Java and Selenium WebDriver to programmatically add a high‑school record with random scores and rankings, streamlining pagination testing by generating the required data automatically instead of entering each entry manually.
This article explains why using Laravel for web development saves time and effort by offering built‑in authentication, convention‑over‑configuration, powerful ORM, easy email handling, Artisan CLI, testing support, simple routing, and a vibrant community, making it a top PHP backend choice.
This article provides a detailed Selenium‑Java script for automating the creation of formal and live courses, covering element selection, date‑time handling, file uploads, random live‑room assignment, and crucial conditional checks, complemented by screenshots of the UI dialogs.
A busy DBA can reduce weekend firefights by automating SQL code formatting, detecting injection risks, assessing performance impact, and fostering a collaborative review culture with developers through testing frameworks and knowledge‑sharing sessions.
To meet strict quality goals for iOS projects, the article describes adopting intermediate‑file code‑coverage instrumentation, generating gcno/gcda files, using lcov for full and incremental analysis, and integrating the process into builds and CI to enforce coverage thresholds and guide test‑case design.
This article provides a detailed Java Selenium script that navigates a backend admin list, locates a specific course by ID, handles pagination and status checks, and programmatically sets the flash‑sale price using JavaScript interactions.
This guide demonstrates how to use Selenium WebDriver with Java to delete an existing shipping address and add a new one, including handling dropdown selections for province, city, and area, with complete code examples and step‑by‑step explanations.
When automating a download flow with Selenium Java, you may encounter three browser windows; this article explains how to enumerate all handles, switch to each window, perform actions, and close them safely using explicit checks and WebDriver commands.
This article examines the difficulties of UI automation such as high script costs, instability, and rapid UI changes, and presents practical solutions using Puppeteer—including device emulation, robust test architecture with Mocha, error handling, dynamic selector strategies, and a monitoring system that captures screenshots and reports failures.
This article explains why flash‑sale coupons are hard to grab, reveals the hidden gray‑market tactics, and provides a complete Python Selenium script plus CSS selector tips to simulate and practice automated coupon grabbing for learning purposes.
When using UiAutomator on macOS you must prepend the full path to the Android command and adjust slash handling, otherwise you encounter "Cannot run program" errors; this guide shows the errors, the required fixes, and provides a complete Java helper class for automated testing.
This article explains Java's class initialization sequence, showing how static variables, static blocks, constructors, and the main method are executed in single‑class and multi‑inheritance scenarios, and demonstrates how to control static fields for specific subclasses during testing.
