Intelligent R&D Operations Solution

Based on large models, realize code generation, automatic test case generation, asset lineage analysis, and change impact analysis

Functional Overview

Based on large models, realize code generation, automatic test case generation, asset lineage analysis, and change impact analysis, improving R&D operations efficiency.

Customer Pain Points

  • Software assets such as code, documents, test cases, and APIs are scattered, and the asset map is missing.
  • Change impact analysis is difficult, and test scope recommendations rely on manual experience.
  • Lineage relationships between requirements, design, coding, testing, and reporting are not visible.
  • Regulatory standards and financial knowledge bases are not connected with the R&D process.

Solution Advantages

  • Software asset panoramic map: displays all assets such as code, test cases, documents, and APIs and their usage.
  • Automatic lineage analysis: visualizes the full-chain dependency relationships from requirements → design → coding → storage → testing → reporting.
  • Intelligent change impact assessment: automatically identifies changed components, databases, and test cases, and recommends testing priorities.
  • Multi-source data automatic collection: GitHub, Word/PDF/Excel documents, and code scanning are automatically stored.
  • Knowledge base fusion: built-in regulatory standards, financial domain knowledge base, and banking business knowledge base to assist review and management.

Architecture Diagram

Architecture Diagram