How Huolala Created an Intelligent Automated Testing System to Raise Coverage & Cut Regression Costs

Facing rapid business expansion, Huolala’s quality assurance team tackled redundant code, high regression costs, and lack of coverage metrics by designing an intelligent automated testing framework that analyzes effective code, provides smart test case recommendations, visualizes progress, and integrates monitoring, resulting in significant coverage improvements and efficiency gains across services.

JaCoCoJavaMonitoring

0 likes · 25 min read

How Huolala Created an Intelligent Automated Testing System to Raise Coverage & Cut Regression Costs

政采云技术

Jul 25, 2023 · Industry Insights

Quantifying Test Impact and Automating Regression with Code‑Case Mapping

The article examines common functional testing pain points—such as vague impact assessment, high regression cost, and poor test‑dev collaboration—and proposes a data‑driven solution that builds a code‑to‑test‑case mapping using dynamic call chains, static analysis, and coverage snapshots to enable precise test case recommendation and incremental coverage reporting.

Regression testingci/cdcode coverage

0 likes · 17 min read

Quantifying Test Impact and Automating Regression with Code‑Case Mapping

Bilibili Tech

Oct 11, 2022 · Fundamentals

Precise Testing Technology: Definition, Implementation, and Practice

Precise testing technology uses static code scanning and dynamic tracing to build a Neo4j call‑graph, automatically recommends test scopes and cases via diff analysis and weighted relationships—including call‑count, module, text similarity, and GCN—thereby improving test adequacy, cutting regression cycles, and dramatically reducing test execution time.

Dynamic AnalysisGCNGraph Database

0 likes · 9 min read

Precise Testing Technology: Definition, Implementation, and Practice

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.

Task SchedulingUI self-healingsmart 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

ByteDance Terminal Technology

Aug 12, 2021 · Mobile Development

Automated Precise Testing and Android Call‑Chain Construction for Mobile Applications

This article describes a workflow for automatically recommending precise test cases for each code change in Android MR pipelines by building and optimizing activity‑method call chains using static analysis, linking test cases to changed methods, and demonstrating significant efficiency gains in large‑scale mobile development.

Merge Requestcall graphstatic analysis

0 likes · 14 min read

Automated Precise Testing and Android Call‑Chain Construction for Mobile Applications

360 Quality & Efficiency

Dec 21, 2018 · Artificial Intelligence

Machine Learning-Based Test Case Step Recommendation: Data Preprocessing, N‑gram, CBOW, and RNN/LSTM Model Construction

This article explains how to use machine‑learning techniques—including data preprocessing, N‑gram, CBOW, and various RNN/LSTM models—to automatically recommend the next function in a test‑case step sequence, improving writing speed and efficiency for developers.

CBOWLSTMMachine Learning

0 likes · 4 min read

Machine Learning-Based Test Case Step Recommendation: Data Preprocessing, N‑gram, CBOW, and RNN/LSTM Model Construction