WiseSpec: Requirements-Driven Agents for Code Generation

2026-08-31

AI Summary

为解决大模型在处理复杂软件任务时因需求描述不清晰导致的代码生成问题，WiseSpec通过自动生成并迭代优化结构化高质量需求来指导代码生成。

Abstract

Code generation aims to automatically generate source code from task requirements and has attracted significant attention with the rapid advancement of large language models (LLMs). Despite remarkable progress, LLMs often struggle to generate correct code for complex software engineering tasks because task descriptions are frequently incomplete, ambiguous, or lack critical contextual information. Existing approaches primarily improve the capabilities of coding agents through more sophisticated tools, skills, and workflows, while largely overlooking the quality of the task requirements themselves. To address this limitation, we draw inspiration from software requirements engineering and propose WiseSpec, a novel requirements-driven agent framework for repository-level code generation. WiseSpec automatically constructs structured and information-rich requirements, assesses their quality through execution-based evaluation, and iteratively refines them to better guide code generation. Experimental results show that WiseSpec consistently outperforms all baselines, achieving an average improvement of 13.17% in %Resolved.

Problem

• Code Generation
• Task Requirements
• Large Language Models
• Software Engineering

Innovation

• Requirements-Driven
• Code Generation
• Execution-based Evaluation
• Iterative Refinement