When using Moco API for interface virtualization, the default extractor cannot handle POST requests with JSON bodies, so a custom JsonExtractor is created to read the request content, parse the JSON, and return the desired parameter value.
This article presents a complete Spring Boot project template for an e‑commerce order service, covering README composition, one‑click local build scripts, business‑oriented package layout, automated test classification, logging, exception handling, background tasks with distributed locks, static analysis, health checks, Swagger API documentation, database migration, multi‑environment configuration, CORS setup, and a curated list of useful third‑party libraries.
This tutorial explains how to use Charles Proxy's Map and Breakpoint features to permanently or temporarily redirect network requests and edit server responses, enabling more comprehensive testing of special scenarios.
This article explains how to create a custom CycleHandle response handler for the Moco framework to simulate repeated responses, provides the full Java implementation, demonstrates Groovy helper methods for easy usage, and briefly discusses Groovy's JVM compatibility advantages.
When using Moco API for request virtualization, the default extractor cannot handle POST JSON bodies, so this article shows how to implement a custom JsonExtractor in Java and use Groovy matchers to verify JSON parameters effectively.
The article explains how to evolve a microservice‑based transaction system’s testing framework from a simple all‑in‑one approach to a modular, aspect‑oriented architecture with separate action, assertion, and proxy layers, enabling scalable, reusable, and maintainable test cases across expanding business scenarios.
JVM‑Sandbox, an open‑source real‑time, non‑intrusive bytecode‑enhancement framework developed by Alibaba’s Technical Quality team since 2016, provides dynamic AOP, modular management, and HTTP‑based control to support fault injection, dependency analysis, recording/replay, and precise regression, dramatically improving testing efficiency and stability for large‑scale services.
The article recounts Segment's journey from a monolithic system to a sprawling micro‑service architecture, the operational pain points that emerged, and how consolidating over 140 services into a single codebase improved testing speed, deployment simplicity, and overall developer productivity while revealing new trade‑offs.
This article introduces Sikuli, an image‑based GUI automation tool, explains its origins, provides download links, details installation steps, demonstrates Python integration via the Lackey library and SikuliX API, shares useful code snippets, and highlights common pitfalls and overall considerations for test automation.
This article explains common testing environment challenges and demonstrates how Docker can create reproducible, isolated test setups, streamline Selenium UI automation, and integrate with CI/CD pipelines to improve efficiency and reliability for software testing teams.
The article explains how LinkedIn applied the 10X rule—setting ambitious, ten‑fold goals—to overhaul its mobile development process, introducing weekly releases, aggressive testing, static analysis, distributed builds, and feature‑flag‑driven deployments to dramatically improve engineering efficiency and product delivery speed.
The article describes a problem with Moco's default request extractor that fails to retrieve JSON parameters from POST requests and provides a custom Java extractor implementation that reads the request content and extracts the desired JSON field.
This article introduces a layered testing methodology that separates presentation, core, and foundation layers, explains test case specifications and naming conventions, provides Java code examples for atomic, basic, and framework layers, and discusses optimization techniques such as data construction, regression testing, and exception validation to improve automation efficiency.
The article recounts a 2014 experience of refactoring a critical business system after a serious bug, detailing how the team defined scope, designed dual‑flow verification with gray releases, managed expectations, and successfully delivered a maintainable backend solution.
The article explains how thorough requirement analysis, disciplined daily planning, proactive risk communication, and a strong team project culture enable testers to actively contribute to project success, improve delivery quality, and align product outcomes with business value in fast‑changing mobile‑internet environments.
An extensive, step‑by‑step roadmap guides aspiring backend developers through language selection, tooling, best practices, security, databases, testing, frameworks, APIs, authentication, messaging, containers, and more, combining practical exercises and visual diagrams to build a modern backend skill set.
This article introduces Ctrip Hotel's automated comparison platform, detailing its motivation, overall architecture, and the four modules—interface, database, tracing, and cache comparison—along with configuration, execution methods, and results, highlighting its impact on testing efficiency and scalability.
The article examines why test coverage matters, how Google and Facebook approach automated testing, the cultural emphasis on code ownership, and the practical limits of achieving 100% coverage in large-scale software projects.
This article documents a series of experiments that examine how Nginx's large_client_header_buffers and client_header_buffer_size directives interact with server and http contexts, revealing that the effective buffer size is determined by the merged value of the default server after configuration parsing.
This article explains the fundamentals of peer‑to‑peer (P2P) download technology, its advantages over traditional client‑server models, the detailed download workflow, and the testing and monitoring approaches used to evaluate performance, stability, and crash rates.
This article shares practical methods for boosting testing efficiency and ensuring test quality in large agile projects, covering static testing techniques, pre‑built data construction tools, code‑coverage monitoring, and effective communication with business teams.
This article presents a step‑by‑step roadmap for aspiring backend developers, covering language selection, package management, best practices, security, testing, databases, frameworks, Docker, and many other essential skills to build a modern, production‑ready web application.
This article discusses common problems in fast‑paced project iterations—such as volatile requirements, low‑quality demand, delayed testing, and cross‑team dependencies—and presents practical methods like user stories, demand checklists, early annotations, developer‑led requirement reviews, and testing best practices to improve delivery speed and quality.
The article examines why testers and developers often clash, illustrates the conflict with the classic Prisoner's Dilemma, lists common friction points such as unclear processes, standards, resources, and attitudes, and offers practical recommendations to establish shared workflows, improve communication, and foster a cooperative team environment.
This article highlights the most reliable, simple Linux performance utilities, introduces Brendan Gregg's updated talk and slides from LinuxCon NA 2014 that now cover testing and optimization, and presents concise visual summaries of monitoring, testing, and optimization tools for various subsystems.
This guide lists and describes twenty indispensable Java libraries—including logging, JSON parsing, testing, HTTP, XML, database pooling, messaging, PDF handling, and more—so developers can quickly find the right tools for everyday backend development tasks.
Joining a new team and project as a fresh graduate at FlowingTalk, I describe the supportive environment, codebase initialization, various HTTP testing strategies using Go and Gin, the adoption of OpenCensus, Prometheus, and Sentry for monitoring, and how iterative development accelerates my growth as a backend engineer.
This article introduces React Hooks, explains how they enable state and other React features without classes, provides official resources, outlines migration advice, details supported packages, tooling integrations, testing APIs, installation methods, and summarizes the changelog and post‑alpha updates for the stable 16.8 release.
This article introduces JSON Schema, explains how to obtain implementations for various languages, demonstrates its usage for validating API responses, and details the most common configuration keywords and examples to help developers efficiently enforce JSON data formats.
This article presents four practical clean‑code guidelines—testing every change, keeping functions small, avoiding side effects, and using clear naming—illustrated with JavaScript examples, to help developers write more maintainable, testable, and understandable code.
This article compiles an extensive list of Java interview questions covering fundamentals, concurrency, collections, JVM internals, I/O, design patterns, testing, and best practices, providing candidates with a comprehensive study guide for modern backend development roles.
The 2018 Youzan Technical Articles Collection compiles sixty curated pieces—including forty‑seven deep‑dive technical guides and thirteen activity, video, or culture pieces—spanning frontend, mobile, middleware, backend, architecture, operations, big data, testing, and extended readings, highlighting the year’s top five reads and inviting continued engagement in 2019.
A former SketchDeck CTO shares hard‑won insights on technology choices, testing practices, and people management, offering practical advice for engineers aiming to step into the CTO role in fast‑growing startups.
The article provides a comprehensive analysis of React Hooks, covering their injection model, persistent call ordering, debugging and testing strategies, API design considerations such as useReducer, Context Provider, useEffect, missing APIs, type handling, compilation optimizations, safety concerns, and the overall motivation behind moving from class components to hooks.
The article presents 19 practical recommendations for Node.js developers in 2019, covering type systems, linters, architecture, async hooks, serverless, emerging JavaScript features, API design, testing strategies, security, package management, deployment, Kubernetes, blockchain, machine learning, open‑source exploration, Linux internals, and scientific learning methods.
This article explains how image‑recognition techniques, particularly via the Sikuli tool, can be applied to UI automation testing, covering underlying principles, a comprehensive list of built‑in functions, sample code snippets, and the advantages and limitations of this approach.
The 2018 State of JavaScript survey, answered by over 20,000 developers worldwide, reveals current preferences in languages, frameworks, tools, testing libraries, and emerging trends such as GraphQL and React Hooks, offering valuable insights for front‑end engineers.
Front‑end developers often suffer from constantly changing back‑end APIs, outdated documentation, and testing that only starts near release, but by treating API specifications as contracts, using tools like Raml‑Mocker to generate mock servers and automate testing, teams can reduce rework, raise interface design quality, and streamline delivery.
Based on the 2018 State of JS survey of over 20,000 developers, this article highlights the rise of ES6 and TypeScript, the dominance of React and Vue, the popularity of Redux and GraphQL, the steady use of Node frameworks, and emerging tools for testing, mobile, and desktop development.
This article discusses the three driving forces behind technology organizations—organization, technology, and process—focusing on the evolving roles of test development, their definitions, required skills, and how they bridge development and testing to improve communication, quality, and career planning.
Pure functions are deterministic, side‑effect‑free routines that always return the same output for identical inputs, and this article explains their definition, observable side effects, practical JavaScript examples of pure and impure functions, and why they improve testability, refactoring, and code quality in modern front‑end development.
The article explains why automated JSON comparison is needed in testing, introduces the json_tools library and a custom recursive approach for detecting differences, shows example outputs, explains the change descriptors, and compares the pros and cons of each method.
This article describes the architecture, design requirements, and implementation of a modular transaction settlement testing system that separates testing from order modules, supports flexible split‑payment configurations, and ensures accurate fund flow verification across various business scenarios.
This article explains the concept of response time in mobile applications and provides a detailed, image‑rich workflow—including video recording with ReplayKit, simulated interactions, video parsing, log extraction, timestamp alignment, and stability detection—to accurately measure and reduce response latency.
This article provides a comprehensive testing guideline covering test planning, test design, bug submission and tracking, regression testing scope determination, and internal communication practices to improve software quality and testing efficiency.
Beeshell is an open‑source React Native component library offering a comprehensive, customizable set of JavaScript and native UI components for iOS, Android, and web, featuring layered architecture, extensive documentation, testing, and a roadmap to expand beyond 100 components.
This article explains how Alibaba transforms source code into a running service by using the Aone platform to automate environment setup, building, packaging, testing, and staged deployment, while covering key terminology, quality‑assurance methods, test‑environment isolation, and pipeline orchestration for continuous delivery.
This article explains how to use the Tampermonkey browser extension to interact with web pages, retrieve performance data, manipulate DOM elements, and automate testing tasks such as sign‑in assistance, event inspection, and cross‑origin requests, thereby improving testing efficiency and coverage.
This guide outlines the file layout of an API automation project, describing QR code generation for test reports, storage of cookie data, Python scripts for handling cookies and running tests, and a log directory, encouraging hands‑on practice and offering support via a public account.
This article examines the difficulties of mobile H5 performance testing—including root‑required tcpdump, JavaScript injection, HTTPS pcap parsing, and white‑screen timing—provides background on mobile browsers, outlines performance metrics, compares four testing approaches, and describes a WebView monitoring workflow with data conversion and visualization.
This article examines the difficulties of automating mobile H5 performance testing—such as root‑required tcpdump, HTTPS pcap parsing, and ambiguous white‑screen timing—and presents background on mobile browsers, W3C performance metrics, and a comparative review of practical testing tools and a custom WebView monitoring workflow.
This article provides a comprehensive overview of Python, covering its nature as an interpreted, interactive, object‑oriented language, key benefits, coding conventions, memory management, debugging tools, core concepts like decorators, data structures, namespaces, lambda functions, testing, and many practical programming details for newcomers.
This article explains how microservice architecture transforms testing by classifying five test types—unit, integration, component, contract, and end‑to‑end—introduces Ctrip's automated comparison tool that replays production logs with mock services, and highlights its design goals, implementation details, and advantages for improving test coverage and reliability.
This article explores practical Domain‑Driven Design in a B‑to‑B setting, comparing data‑centric and object‑centric modeling, illustrating blood‑loss, anemia, and rich models, and showing how dependency injection, testing strategies, repository abstractions, and deployment architectures can improve software quality and maintainability.
Analyzing GitHub star growth over the past year, this article ranks the most popular JavaScript projects of 2017—highlighting Vue.js’s continued dominance, React’s strong showing, emerging tools like Puppeteer, and trends across frameworks, build tools, testing suites, and the rise of static site generators.
The article examines why developers feel compelled to refactor messy code, illustrates common pitfalls such as mixing refactoring with new feature development, and proposes practical strategies—including separating refactoring from feature work, adopting small‑step incremental changes, and integrating test‑driven development—to manage refactoring projects successfully.
This article provides an extensive overview of Android Debug Bridge (ADB), detailing its architecture, core components, and a wide range of commands—including shell am, pm, appops, wm, settings, input, dumpsys, logcat, push/pull, screencap, and screenrecord—illustrated with examples and code snippets for effective mobile testing and automation.
This article explains how treating software projects as disciplined design processes—using shared language, realistic estimation, systematic system modeling, and test‑first development—helps create clean, maintainable code while avoiding the pitfalls of over‑engineering and rushed delivery.
This article explores the philosophy of clean code, emphasizing disciplined design, clear domain language, realistic estimation, collaborative system modeling, and test‑first development to produce maintainable, efficient software that meets client needs while avoiding unnecessary complexity.
The article explains how microservice architectures increase testing complexity and presents practical strategies—including orchestration testing, service virtualization, handling API changes, asynchronous command patterns, event firehose, and CI/CD environment configuration—to reliably test individual services and their interactions in cloud‑native environments.
This article introduces the four major categories of multithreaded bugs—data races, atomicity failures, ordering failures, and deadlocks—explains their causes with Java examples, and provides practical techniques such as using state machines, volatile variables, consistent lock ordering, and proper exception handling to prevent them.
This article guides developers on enhancing PHP code quality by setting up an end‑to‑end and integration testing environment with Behat, covering installation, build configuration, feature writing, step implementation, test execution, and continuous integration integration.
This article lists 36 common bad habits that reduce programmer efficiency—from poor code organization and teamwork to bad coding and testing practices—and offers concrete advice on how to overcome each to boost productivity and advance your career.
This article guides you through setting up Behat for PHP, showing how to install the tool, write feature files, configure build targets, implement step definitions, and run comprehensive integration tests to dramatically improve code quality.
This article traces Spring's evolution, explains why Spring Boot was created to simplify configuration and deployment, outlines its core features, testing support, convention‑over‑configuration philosophy, and its relationship with Spring Cloud, providing a comprehensive guide for backend developers.
This guide shares practical testing shortcuts—including how to fully clear Chrome cache, use Navicat for reusable SQL queries, install JSON Viewer and EditThisCookie extensions, and other handy tricks—to boost overall testing efficiency and reduce manual effort.
The article traces Google's transition from manual testing to automated testing, detailing the emergence of distinct testing roles such as Test Engineers, Release Engineers, Site Reliability Engineers, and Test Development Engineers, and how these changes boosted productivity and reshaped engineering workflows.
This article introduces Python's xlrd and xlwt libraries for reading and writing Excel files, explains why Excel handling is useful in automated testing, and provides step‑by‑step code examples for writing single cells, writing columns, modifying data, and applying cell styles.
The article summarizes the GIAC Shenzhen conference, highlighting front‑end, mobile, and backend optimization techniques, large‑scale architecture designs, cloud‑native solutions, big‑data testing strategies, and quality assurance practices shared by top Chinese internet firms.
This article explains what a framework is, why automated testing is essential, its benefits and limitations, and outlines the essential components and common types of automation testing frameworks, providing practical guidance for building effective test solutions.
This article provides a comprehensive guide to planning, developing, testing, and monitoring microservices, recommending a range of open‑source tools for documentation, code review, logging, CI/CD, performance testing, and observability to help developers build reliable, scalable services.
This article shares a collection of practical testing shortcuts—including browser cache clearing methods, Chrome cookie management, MySQL query reuse, full‑database search techniques, JSON formatting plugins, and cookie editing tools—to help testers boost efficiency and reduce repetitive work.
This article introduces how image‑recognition techniques, particularly using the Sikuli tool, can be applied to UI automation testing for both web and mobile applications, covering practical scenarios, core principles, a suite of useful functions, example code, and the advantages and limitations of the approach.
This article explains how image recognition can enhance UI automation testing for web and mobile applications, introduces Sikuli as a tool, details its core functions, provides code examples, and discusses the advantages and limitations of using visual‑based testing approaches.
This article explains the concept, measurement dimensions, and practical issues of code coverage, compares full and differential coverage, describes JaCoCo's on‑the‑fly and offline instrumentation techniques, and outlines how to resolve instrumentation conflicts in a Java service environment.
This article introduces the most commonly used algorithms in engineering—recommendation, optimization, estimation, and classification—explains their typical application scenarios, and discusses various testing methods and evaluation metrics such as offline experiments, user surveys, A/B testing, and performance indicators like accuracy, coverage, diversity, and robustness.
This article analyses fifteen typical architectural design risks—such as duplicate interactions, high‑frequency calls, redundant requests, non‑reentrant interfaces, unreasonable timeouts, retry misconfigurations, IP direct‑connect, cross‑datacenter calls, weak/strong dependencies, third‑party reliance, cache penetration, cache avalanche, and coupling issues—explaining their definitions, impacts, detection methods, and concrete mitigation measures with real‑world Baidu cases to help engineers improve system stability.
This article presents a comprehensive, sequential roadmap for aspiring backend developers, covering language selection, practice projects, package managers, standards, security, testing, databases, frameworks, caching, APIs, authentication, messaging, search, Docker, web servers, WebSockets, GraphQL, graph databases, and continuous learning.
This guide outlines common tester‑developer interaction scenarios, highlights typical mistakes, and provides best‑practice responses to improve bug reporting, collaboration, code reviews, and issue resolution, helping QA professionals foster constructive communication and maintain project quality.
This article describes how Qunar built a comprehensive automated testing system triggered by beta releases, incorporating CI‑driven execution, strong release‑blocking controls, and multi‑channel result notifications to improve release quality, reduce manual effort, and close testing gaps in a fast‑moving internet environment.
The article introduces a commercial testing platform used by an advertising team, detailing its architecture, core components, monitoring and scheduling mechanisms, current advantages and shortcomings, and outlines planned enhancements to improve data construction, result recording, and anti‑fraud coverage.
The article details how Youzan’s frontend team created the Zent React component library—defining a unified design philosophy, strict code standards, a CLI‑driven workflow, Jest/Enzyme testing, and disciplined maintenance practices—to replace duplicated code, support diverse business needs, and foster open‑source collaboration.
This step‑by‑step guide shows how to create a simple Spring Boot application, configure Gradle or Maven builds, write MockMvc tests, and use Spring REST Docs to automatically generate up‑to‑date API documentation snippets that can be included in Asciidoctor‑based docs.
This article outlines typical issues such as unsupported video codecs and odd pixel dimensions that testers encounter with mobile video ads, and provides practical solutions including transcoding to H264, enforcing even resolution, and recommending useful tools like Format Factory and MediaInfo.
This article outlines the challenges faced by the Beijing supply‑chain team in implementing functional‑test CI, presents a standardized, automated and visualized CI solution centered on automated testing, and demonstrates the resulting low‑cost, high‑output architecture, performance metrics, and future roadmap.
This article outlines the core professional skills, project experience, development processes, tools, interview questions, and negotiation tips that Java developers need to master to succeed in job interviews and advance from junior to senior positions.
Discover how modern PHP development has evolved with powerful tools like Composer, PHPUnit, Behat, and IDE integrations, while embracing best practices, PSR standards, micro‑frameworks, and continuous integration to boost productivity, code quality, and maintainability in today’s fast‑moving ecosystem.
The article outlines five actionable strategies—ensuring tests exist, communicating with the original author, eliminating warnings, refactoring, and making the code better than when found—to responsibly modify and enhance legacy code while minimizing risk and technical debt.
The article presents Zhang Qi's insights on end‑to‑end quality assurance for JD's POP platform and 7FRESH stores, covering pre‑, during‑, and post‑release testing measures, big‑data‑driven automation, tester roles, team growth strategies, and knowledge‑sharing initiatives.
This article explains the essential concepts of blockchain testing, covering its unique characteristics, testing difficulties, required technical knowledge, key test scenarios, performance metrics, and future directions toward automated and unified testing across industries.
This article provides a detailed overview of the Java ecosystem for backend development, covering JDK features, popular IDEs, web servers, build tools, frameworks, template engines, data access libraries, logging, testing utilities, code quality tools, and JVM languages, along with useful resource links.
This article explores why unit testing is essential for frontend projects, compares Mocha and Jest across assertions, coverage, environment setup, mocking, snapshots, and watch mode, and offers practical guidance on choosing tools, writing maintainable tests, and balancing coverage with development speed.
The article chronicles Google’s Test Certified initiative from its 2006 inception, detailing its three original levels, certification process, expansion efforts, cultural impact, and both positive and negative aspects, illustrating how a grassroots testing program reshaped engineering practices and code quality across the company.
This article reviews the most important Windows‑focused DevOps tools—including TFS, Jenkins, TeamCity, DSC, Chef, Puppet, Ansible, Pester, and nUnit—covering build and release pipelines, configuration management, and testing frameworks to help administrators automate software delivery on Windows platforms.
This article presents a comprehensive collection of 52 Node.js best‑practice recommendations covering project structure, error handling, coding style, testing, and production, each detailed with concise summaries, risk warnings, and in‑depth explanations, guiding developers toward more reliable and maintainable backend applications.
This article compiles seasoned developers' advice on choosing a language, embracing agile delivery, rigorous testing, avoiding premature optimization, and writing maintainable code to help programmers grow their careers and produce high‑quality software.
This article explains why Xiaomi built Pegasus to replace HBase, describes its architecture—including MetaServer, ReplicaServer, partitioning, multi‑replica design and the PacificA consensus algorithm—covers implementation challenges such as load balancing, consistency, latency, testing, and outlines current status and future plans.
This article details the evolution of a transaction‑related testing framework, describing its background, objectives, development stages—including all‑in‑one code, method extraction, project separation, data construction, checklist and performance testing—and outlines various test case categories and the lightweight release workflow.
This article explains the concept of custom schema URLs in mobile development, describes the problems of a growing ad‑hoc implementation, and presents a refactored, configuration‑driven architecture that provides automatic matching, self‑documenting schemas, and integrated testing for Android apps.
This article explains the concepts of code coverage, describes different coverage metrics such as statement, branch, and function coverage, introduces BullseyeCoverage and gcov/lcov tools, and provides detailed step‑by‑step procedures for measuring coverage in both executable binaries and dynamic libraries for C/C++ projects.
