Lingma SWE-GPT: An Open Development-Process-Centric Language Model for Automated Software Improvement

Understand

Recent advancements in LLM-based agents have led to significant progress in automatic software engineering, particularly in software maintenance and evolution.

• Despite these encouraging advances, current research faces two major challenges.
• First, SOTA performance primarily depends on closed-source models, which significantly limits the technology's accessibility, and potential for customization in diverse SE tasks.
• Second, these models are predominantly trained on static code data, lacking a deep understanding of the dynamic interactions, iterative problem-solving processes, and evolutionary characteristics inherent in software development.