מושגי ליבה
The author presents the A3-CodGen framework to enhance code generation by utilizing local, global, and third-party-library information, reducing errors and redundancy in generated code.
תקציר
The A3-CodGen framework aims to improve code generation by leveraging information from the code repository. It introduces three types of knowledge: local-aware, global-aware, and third-party-library-aware. The framework enhances accuracy, efficiency, and reusability in generating code. By incorporating these three types of information, the model can generate more accurate and effective code that aligns with the existing code repository environment.
The content discusses the limitations of existing code generation tools and proposes a novel approach to address these challenges. It highlights the importance of context-awareness in generating code that closely resembles human developers' work. The A3-CodGen framework contributes significantly to improving software development practices by providing developers with a powerful tool to generate accurate and efficient code.
Key points include:
- Introduction of A3-CodGen framework for context-aware code generation.
- Three categories of representative information for the code repository: local-aware, global-aware, and third-party-library information.
- Results demonstrate improved accuracy, efficiency, and reusability in generating code.
- Comparison of different configurations for optimal performance in utilizing local functions, global functions, and third-party libraries.
- Importance of incorporating Third-Party-Library Aware knowledge for better precision and coverage in generated code.
סטטיסטיקה
Results demonstrate that by adopting the A3-CodGen framework,
we successfully extract,
fuse,
and feed
code repository information into the LLM,
generating more accurate,
efficient,
and highly reusable code.
The effectiveness
of our framework is further underscored by generating code
with a higher reuse rate,
compared to human developers.
ציטוטים
"In this paper, we propose a novel code generation framework dubbed A3-CodGen."
"Our experiments are driven by two primary objectives: To investigate the effectiveness of three distinct types of code repository information in assisting the model with code generation for specific repositories."
"The main contributions of this paper are significant advancements in understanding how local functions interact within class variables."