Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs

In large-scale software development, understanding the functionality and intent behind complex codebases is critical for effective development and maintenance. While code summarization has been widely studied, existing methods primarily focus on smaller code units, such as functions, and struggle with larger code artifacts like files and packages. Additionally, current summarization models tend to emphasize low-level implementation details, often overlooking the domain and business context that are crucial for real-world applications. This paper proposes a two-step hierarchical approach for repository-level code summarization, tailored to business applications. First, smaller code units such as functions and variables are identified using syntax analysis and summarized with local LLMs. These summaries are then aggregated to generate higher-level file and package summaries. To ensure the summaries are grounded in business context, we design custom prompts that capture the intended purpose of code artifacts based on the domain and problem context of the business application. We evaluate our approach on a business support system (BSS) for the telecommunications domain, showing that syntax analysis-based hierarchical summarization improves coverage, while business-context grounding enhances the relevance of the generated summaries.

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Publication Details

Published
2025-05-03
DOI
https://doi.org/10.1109/llm4code66737.2025.00023
Citations
2
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
6.49
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article

Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs

Vinay Kulkarni, Sapan Shah, Nilesh Dhulshette
2 citations
Web Data Mining and Analysis
6.49
article

Hierarchical Repository-Level Code Summarization for Business Applications Using Local LLMs

Vinay Kulkarni, Sapan Shah, Nilesh Dhulshette
article en
2 citations

Abstract

In large-scale software development, understanding the functionality and intent behind complex codebases is critical for effective development and maintenance. While code summarization has been widely studied, existing methods primarily focus on smaller code units, such as functions, and struggle with larger code artifacts like files and packages. Additionally, current summarization models tend to emphasize low-level implementation details, often overlooking the domain and business context that are crucial for real-world applications. This paper proposes a two-step hierarchical approach for repository-level code summarization, tailored to business applications. First, smaller code units such as functions and variables are identified using syntax analysis and summarized with local LLMs. These summaries are then aggregated to generate higher-level file and package summaries. To ensure the summaries are grounded in business context, we design custom prompts that capture the intended purpose of code artifacts based on the domain and problem context of the business application. We evaluate our approach on a business support system (BSS) for the telecommunications domain, showing that syntax analysis-based hierarchical summarization improves coverage, while business-context grounding enhances the relevance of the generated summaries.

Tata Consultancy Services (India) (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Web Data Mining and Analysis
6.49
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