arXiv (All)
open access
Call-Chain-Aware LLM-Based Test Generation for Java Projects
Large language models (LLMs) have recently shown strong potential for generating project-level unit tests. However, existing state-of-the-art approaches primarily rely on execution-path information to guide prompt construction, which is often insufficient for complex software systems with rich inter
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Call-Chain-Aware LLM-Based Test Generation for Java Projects#134626
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#798985
- ClarifyCodeBench: Evaluating LLMs on Clarifying Ambiguous Requirements for Code Generation#797571
- Compositional Machine Design as Program Synthesis with LLMs#820267
- Triage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality Signals#2688
Record · ID 1326254
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive