AGENTS
UT Test Agent
WinAMS-integrated unit test generation agent solving code-context understanding, branch inversion and coverage-filling.
Core Pain Points
- Test-framework embedding and environment alignment (~10%): Different projects have divergent build conventions; some rely heavily on proprietary
.gpjfiles, making environment setup time-consuming for junior engineers. - Case authoring and execution (~60%): Variable addressing depends on understanding complex code; deep branches require manual reverse-engineering of trigger conditions; isolation of external calls also requires hand-writing many Mocks and stubs.
- Case refinement and coverage-gap filling (~20%): Iteratively modifying and filling branches to meet coverage targets is high-frequency, mechanical rework.
Solution & Technical Implementation
- Code context parsing: The agent handles massive source-code context and dependency networks, building an engineering-level view that assists with variable addressing, branch-condition derivation, and stubbing of complex modules.
- No-compilation environment dependency: Parses projects at the source-code level, adapting to different framework scenarios such as CMake,
.gpj, catch2, and WinAMS. - WinAMS upstream preprocessing: Does not modify the customer's existing WinAMS execution environment; only auto-generates importable test files upstream.
- Case generation and reporting: Generates test inputs covering normal, boundary, and exception paths; outputs CSV/scripts required by WinAMS plus a test report.
Highlights
- Code-context handling (covers ~60% of core pain points): Improves accuracy of branch reverse-engineering and Mock generation.
- No-compilation environment dependency (covers ~10% infrastructure pain points): Reduces setup friction caused by environment and build-convention differences.
- Self-evolution capability (covers ~20% rework pain points): Learns historical excellent cases through the business-line knowledge base.
- Zero-modification WinAMS integration: Preserves the customer's existing execution environment.
Business Value
- Overall test-engineering efficiency improved by ~30%.
- No-compilation and self-evolution features lower the cost of onboarding new projects, enabling promotion across different BUs.
- The underlying technical architecture can be extended from C/C++ to languages such as Java and Python.
- Enterprise-grade scenarios demand high test-generation quality; the UT Agent occupies a clear differentiation space.