Converts natural-language requests into validated, compilable Java test methods, grounding all symbols in a graph catalog and enforcing strict correctness via multi-layer validation.
Enables AI assistants to analyze Java and Web projects, automatically generate unit tests (JUnit) and end-to-end tests (Selenium), and execute them directly through Maven or NPM commands.
Enables LLM clients to generate standardized test cases, perform quality control with lint scoring, convert to Xray/Jira format, and compose test suites (Smoke/Regression/E2E) with coverage analysis.
Parses Java and Xtend source code into a graph database and provides MCP tools for querying classes, methods, control flow graphs, and MC/DC conditions, enabling AI-driven unit test generation for ISO 26262 ASIL-D compliance.