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Baidu Intelligent Testing

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Latest from Baidu Intelligent Testing

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Baidu Intelligent Testing

Jun 2, 2023 · Fundamentals

Code‑Level Quality Techniques: Architecture, Understanding, Probes, and Applications

This article introduces code‑level quality technologies, covering their background, architectural layers, code understanding methods, probe techniques, coverage metrics, smart unit testing, static analysis, and isolated‑function detection, and explains how these practices improve software robustness and defect‑recall efficiency.

code coveragecode probescode quality

0 likes · 16 min read

Code‑Level Quality Techniques: Architecture, Understanding, Probes, and Applications

Baidu Intelligent Testing

Apr 12, 2023 · Fundamentals

Understanding Software Quality: From Usability Layers to Testing Practices and Cost Management

This comprehensive article explains software quality through three layers—usability, usefulness, and loveability—introduces a quality loss model, details testing concepts and phases, discusses cost of quality, risk‑based testing, and the future of TestGPT, while emphasizing the need for technical research and automation in QA.

QATestingquality cost

0 likes · 45 min read

Understanding Software Quality: From Usability Layers to Testing Practices and Cost Management

Baidu Intelligent Testing

Apr 3, 2023 · Operations

R&D Efficiency Analysis: From Metric Definition to a Digital Decision‑Making System

This article explains how to measure and improve R&D efficiency by defining core factors, building data‑driven analysis models, presenting practical case studies on human productivity, code‑review processes and workflow bottlenecks, and describing the technical architecture of a digital platform that turns metrics into actionable decisions.

MetricsR&D efficiencydigital analytics

0 likes · 24 min read

R&D Efficiency Analysis: From Metric Definition to a Digital Decision‑Making System

Baidu Intelligent Testing

Dec 21, 2022 · Operations

Intelligent Test Localization Practices: Spectrum-Based Fault Localization, Error-Code Build System, Revenue‑Loss Decision, and UI Case Localization

This article presents a comprehensive overview of intelligent test localization techniques—including spectrum‑based fault localization, error‑code driven build‑system localization, commercial revenue‑loss decision making, and UI case‑level tracing—detailing their motivations, methodologies, algorithms, and practical applications within automated testing pipelines.

CI/CDFault Localizationautomation

0 likes · 10 min read

Intelligent Test Localization Practices: Spectrum-Based Fault Localization, Error-Code Build System, Revenue‑Loss Decision, and UI Case Localization

Baidu Intelligent Testing

Nov 15, 2022 · Artificial Intelligence

Risk‑Driven Delivery and Quality Assessment Model for Automated Testing at Baidu

This article describes Baidu's risk‑driven delivery approach, detailing the three current testing challenges, the design of a quality‑assessment system that uses machine‑learning (logistic regression) for risk identification, control and decision, and the resulting improvements in testing efficiency and quality.

AIautomationmachine learning

0 likes · 14 min read

Risk‑Driven Delivery and Quality Assessment Model for Automated Testing at Baidu

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 Intelligent Testing

Oct 27, 2022 · Artificial Intelligence

Risk‑Driven Delivery and Unattended Testing in Baidu Search: Practices and Insights

The article explains Baidu's risk‑driven delivery approach for intelligent testing, outlines the current challenges of low‑risk projects, ineffective test tasks, and missed defects, and details how AI‑enhanced, fully automated testing, stable build pipelines, and precise risk‑assessment models enable unattended delivery and improve testing efficiency.

AI in testingBaiduquality assessment

0 likes · 12 min read

Risk‑Driven Delivery and Unattended Testing in Baidu Search: Practices and Insights

Baidu Intelligent Testing

Oct 19, 2022 · Artificial Intelligence

Intelligent Test Evaluation: Risk Dimension Mining, Admission Assessment, Multi‑Dimensional Activity Data Mining, and Model‑Based Risk Evaluation

This article presents an end‑to‑end intelligent testing framework that mines development‑stage risk dimensions, conducts admission risk assessment, extracts multi‑dimensional activity data such as coverage metrics, and applies model‑based risk evaluation to guide quality‑assurance decisions and improve release safety.

Artificial IntelligenceModelingdata mining

0 likes · 11 min read

Intelligent Test Evaluation: Risk Dimension Mining, Admission Assessment, Multi‑Dimensional Activity Data Mining, and Model‑Based Risk Evaluation

Baidu Intelligent Testing

Aug 24, 2022 · Artificial Intelligence

Intelligent Test Analysis Practices: Contract Validation, Memory‑Leak Detection, Performance Diff, Test‑Case Completion, and Visual UI Recall

This article presents a comprehensive overview of intelligent test analysis techniques—including contract‑based validation point generation, time‑sliced C++ memory‑leak detection with DTW and CART, dynamic‑threshold performance diff, transformer‑based test‑case completion, and visual UI recall—demonstrating how data, algorithms, and engineering combine to improve testing accuracy and efficiency.

AI testingContract TestingPerformance Analysis

0 likes · 11 min read

Intelligent Test Analysis Practices: Contract Validation, Memory‑Leak Detection, Performance Diff, Test‑Case Completion, and Visual UI Recall

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.

CI/CDintelligent testingrisk-based recommendation

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