Baidu Intelligent Testing
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Baidu Intelligent Testing

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Baidu Intelligent Testing
Baidu Intelligent Testing
May 6, 2022 · Backend Development

Exploring Baidu's Scalable Intelligent Testing: Automated Test Case Generation for Code, API, UI, and GUI

This article details Baidu's large‑scale intelligent testing framework, describing how AST‑based unit test generation, automated API test creation, visual UI interaction case synthesis, GUI traversal action set generation, and front‑end assertion automation work together to achieve high‑coverage, low‑cost automated testing across multiple languages and platforms.

API testingASTBaidu
0 likes · 10 min read
Exploring Baidu's Scalable Intelligent Testing: Automated Test Case Generation for Code, API, UI, and GUI
Baidu Intelligent Testing
Baidu Intelligent Testing
Jan 30, 2022 · R&D Management

2021‑2022 Software Testing Industry Survey Report: Salary, Demographics, Trends and Future Outlook

The 2021‑2022 TesterHome survey analyzes post‑pandemic changes in China's software testing industry, revealing salary distributions, regional and experience‑based differences, team sizes, role composition, automation impact, left‑right shift adoption, and emerging future directions such as AI, big data, AR/VR and autonomous driving.

Industry SurveySalary Analysiscareer trends
0 likes · 16 min read
2021‑2022 Software Testing Industry Survey Report: Salary, Demographics, Trends and Future Outlook
Baidu Intelligent Testing
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 testingCI/CDautomation
0 likes · 16 min read
Intelligent Automation of API Testing: Practices, Challenges, and Quality Improvements
Baidu Intelligent Testing
Baidu Intelligent Testing
Nov 16, 2021 · Cloud Native

Service Governance and etcd: Concepts, Raft & BoltDB Implementation, and Large‑Scale Practices at Baidu

This article introduces service governance fundamentals, explains how etcd’s Raft‑based consensus and BoltDB storage work, compares etcd with ZooKeeper and Consul, and describes Baidu’s large‑scale, high‑availability, high‑performance service‑governance platform built on these technologies.

BoltDBRaftcloud-native
0 likes · 20 min read
Service Governance and etcd: Concepts, Raft & BoltDB Implementation, and Large‑Scale Practices at Baidu
Baidu Intelligent Testing
Baidu Intelligent Testing
Oct 19, 2021 · Artificial Intelligence

Graph-Based Anti-Fraud: Gang Mining and Node Representation for Account Security

This article describes how Baidu's account security team leverages large‑scale graph technology and graph neural networks to detect and characterize black‑industry cheating gangs, presents a customized GraphSAGE link‑prediction model, and evaluates its superiority over MLP and GCN embeddings for downstream risk‑control tasks.

Node Representationanti-fraudgraph neural networks
0 likes · 12 min read
Graph-Based Anti-Fraud: Gang Mining and Node Representation for Account Security
Baidu Intelligent Testing
Baidu Intelligent Testing
Oct 14, 2021 · Frontend Development

Lowcode, Micro‑Frontend, and the Future of Front‑End Frameworks

This article analyses the rise of lowcode and micro‑frontend approaches, examines their current challenges and use‑cases, and proposes a next‑generation, highly engineered front‑end framework that leverages JSON‑driven configuration to balance developer productivity with platform flexibility.

ComponentizationJSON configurationLowCode
0 likes · 11 min read
Lowcode, Micro‑Frontend, and the Future of Front‑End Frameworks
Baidu Intelligent Testing
Baidu Intelligent Testing
Oct 12, 2021 · Artificial Intelligence

Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning

The article describes a comprehensive full‑link consistency testing framework for click‑through‑rate models, defining consistency issues, outlining data and logic consistency goals, and presenting a multi‑stage technical solution—including online data capture, offline data stitching, q‑value comparison, and reporting—to ensure model stability and performance.

DNNclick-through ratedata pipeline
0 likes · 18 min read
Full‑Link Consistency Testing for Click‑Through Rate Models in Large‑Scale Machine Learning
Baidu Intelligent Testing
Baidu Intelligent Testing
Sep 30, 2021 · Fundamentals

Understanding Core Dumps and Debugging Techniques with GDB

This article explains what program core dumps are, how to interpret core‑dump files, and provides detailed GDB debugging techniques—including register inspection, stack frame analysis, variable printing, memory dumping, and handling optimized code—to locate and resolve the root causes of crashes.

AssemblyC++Core Dump
0 likes · 16 min read
Understanding Core Dumps and Debugging Techniques with GDB