intelligent testing

Efficient Ops

May 12, 2023 · Operations

Designing an Intelligent Performance Testing Platform: From Vision to Implementation

This article describes how a bank’s IT team transformed its performance testing by defining intelligent platform capabilities, designing a modular architecture, and implementing features such as automated risk identification, smart test case generation, data synthesis, multi‑protocol support, chaos injection, and automated result analysis using JMeter, Prometheus, and custom plugins.

AutomationChaos EngineeringJMeter

0 likes · 11 min read

Designing an Intelligent Performance Testing Platform: From Vision to Implementation

Baidu Intelligent Testing

Nov 10, 2022 · Artificial Intelligence

Risk‑Driven Delivery and AI‑Enabled Intelligent Testing: Reducing Human Dependency in Project Delivery

This article examines Baidu's risk‑driven delivery approach and AI‑powered intelligent testing, explaining how automated risk assessment, task allocation, test‑scope analysis, and quality‑score models can dramatically lower reliance on human judgment, improve testing efficiency, and accelerate project release cycles.

AI in software testingAutomationintelligent testing

0 likes · 14 min read

Risk‑Driven Delivery and AI‑Enabled Intelligent Testing: Reducing Human Dependency in Project Delivery

Baidu Geek Talk

Oct 24, 2022 · Operations

Baidu Search Business Unmanned Delivery Practice: Risk-Driven Quality Assurance Exploration

Baidu’s search division implements risk‑driven quality assurance to achieve unmanned delivery by automating test selection, eliminating manual hand‑offs, and introducing comprehensive testing, stable‑build, and precise‑evaluation capabilities, enabling over 90% of requirements to be self‑tested and more than 40% delivered without human intervention, dramatically cutting costs.

BaiduCI/CD PipelineUnmanned Delivery

0 likes · 11 min read

Baidu Search Business Unmanned Delivery Practice: Risk-Driven Quality Assurance Exploration

Baidu Geek Talk

Aug 23, 2022 · Artificial Intelligence

Baidu Intelligent Testing: Analysis and Practice in Testing Activities

The article outlines Baidu’s intelligent testing framework, detailing five advanced techniques—contract‑testing‑driven automatic assertion generation, time‑sliced C++ memory‑leak detection via DTW and decision trees, dynamic‑threshold performance diff detection, machine‑translation‑based functional assertion completion, and visual UI diff with and without reference—each boosting accuracy and efficiency in test analysis.

Performance Testingcontract testingintelligent testing

0 likes · 10 min read

Baidu Intelligent Testing

Jun 30, 2022 · Operations

Intelligent Test Execution: Risk‑Based Manual Case Recommendation, Parallel‑Coverage Traffic Selection, Smart Build, Priority‑Based Task Scheduling, and UI Automation Self‑Healing

This article presents a comprehensive overview of intelligent test execution techniques, including risk‑based manual test case recommendation, parallel‑coverage traffic filtering, dynamic smart build strategies, priority‑driven task scheduling, and UI automation self‑healing, illustrating how these methods improve testing efficiency, coverage, and stability.

Self-healingci-cdintelligent testing

0 likes · 11 min read

Intelligent Test Execution: Risk‑Based Manual Case Recommendation, Parallel‑Coverage Traffic Selection, Smart Build, Priority‑Based Task Scheduling, and UI Automation Self‑Healing

Baidu Geek Talk

Jun 28, 2022 · Artificial Intelligence

Intelligent Test Execution Practices: Risk‑Based Manual Test Recommendation, Parallel‑Coverage Traffic Filtering, Smart Build, and Priority‑Based Task Scheduling

The article covers intelligent test execution practices: risk‑based manual test recommendation, parallel‑coverage traffic filtering, smart build, priority‑based task scheduling, and UI automation self‑healing, describing methods, algorithms, and results that reduce test volume, speed up regression, and improve stability.

UI self-healingintelligent testingsmart build

0 likes · 12 min read

Intelligent Test Execution Practices: Risk‑Based Manual Test Recommendation, Parallel‑Coverage Traffic Filtering, Smart Build, and Priority‑Based Task Scheduling

Baidu Intelligent Testing

Mar 21, 2022 · Artificial Intelligence

Intelligent Testing: A Scenario‑Driven Approach Across the Five Testing Phases

This article presents a scenario‑driven methodology for scaling intelligent testing through the five core testing phases—input, execution, analysis, localization, and evaluation—detailing how AI techniques enhance coverage, efficiency, fault detection, and risk assessment.

AIintelligent testingquality assurance

0 likes · 9 min read

Intelligent Testing: A Scenario‑Driven Approach Across the Five Testing Phases

Baidu Geek Talk

Mar 15, 2022 · Artificial Intelligence

Intelligent Testing: A Scenario‑Driven Approach to Scaling AI‑Enabled Test Phases

The article presents a scenario‑driven framework that scales Baidu’s three‑stage intelligent testing by applying AI‑augmented techniques to each of the five testing steps—input, execution, analysis, localization and evaluation—thereby boosting coverage, efficiency, precision, rapid root‑cause identification and real‑time risk assessment for high‑quality software testing.

AI testingintelligent testingsoftware quality

0 likes · 9 min read

Intelligent Testing: A Scenario‑Driven Approach to Scaling AI‑Enabled Test Phases

Baidu Geek Talk

Feb 25, 2022 · Operations

Intelligent Automation Practices for API Testing: Enhancing Efficiency and Quality

The article outlines how intelligent automation—leveraging data‑driven algorithms for automated case generation, dynamic execution, diff‑based result analysis, noise reduction, failure diagnosis, and effectiveness evaluation—addresses API testing challenges such as manual case writing, low efficiency, redundancy, and reliability, ultimately boosting automation ratios, cutting long‑tail tasks, and enhancing test efficiency and quality.

API testingcase generationexecution optimization

0 likes · 15 min read

Intelligent Automation Practices for API Testing: Enhancing Efficiency and Quality

Baidu Intelligent Testing

Dec 22, 2021 · Backend Development

Intelligent Automation of API Testing: Practices, Challenges, and Quality Improvements

This article examines the challenges of traditional API automation testing and presents an intelligent testing approach that combines data and algorithms to optimize the entire API test lifecycle, improving efficiency, maintainability, and quality through automated case generation, execution, analysis, and evaluation.

API testingAutomationTest Optimization

0 likes · 16 min read

Intelligent Automation of API Testing: Practices, Challenges, and Quality Improvements

Baidu Intelligent Testing

Sep 23, 2021 · Operations

Rebuilding Manual Testing with Standardization and Intelligence: A Comprehensive Approach

This article analyzes the major challenges of large‑scale manual testing, proposes a three‑step reconstruction using standardized inputs, intelligent execution and analysis, and details the implementation of a mind‑map case‑management platform and a white‑box based intelligent testing system with real‑world case studies.

case managementdevopsintelligent testing

0 likes · 19 min read

Rebuilding Manual Testing with Standardization and Intelligence: A Comprehensive Approach

JD Retail Technology

Dec 22, 2017 · Operations

JD Quality Testing Technical Forum 2017: Advances in Performance Testing, Anti‑patterns, Container Environments, and Intelligent Tools

The article reports on the inaugural JD Quality Testing Technical Forum, where experts shared advances in performance testing platforms, test anti‑patterns, container‑based test environments, system‑graded testing strategies, and intelligent tools for handling massive data.

Performance Testingcontainer testingintelligent testing

0 likes · 9 min read

JD Quality Testing Technical Forum 2017: Advances in Performance Testing, Anti‑patterns, Container Environments, and Intelligent Tools