SEAICLJan 21, 2024

Revolutionizing API Documentation through Summarization

arXiv:2401.11361v1
Originality Synthesis-oriented
AI Analysis

This tackles the problem of inefficient API documentation access for software developers, but it is incremental as it builds on existing methods and data sources.

This study addressed the challenge of lengthy and hard-to-navigate API documentation by automatically generating concise summaries from Stack Overflow content using BERTopic and extractive summarization, with developers evaluating the summaries for performance and practicality.

This study tackles the challenges associated with interpreting Application Programming Interface (API) documentation, an integral aspect of software development. Official API documentation, while essential, can be lengthy and challenging to navigate, prompting developers to seek unofficial sources such as Stack Overflow. Leveraging the vast user-generated content on Stack Overflow, including code snippets and discussions, we employ BERTopic and extractive summarization to automatically generate concise and informative API summaries. These summaries encompass key insights like general usage, common developer issues, and potential solutions, sourced from the wealth of knowledge on Stack Overflow. Software developers evaluate these summaries for performance, coherence, and interoperability, providing valuable feedback on the practicality of our approach.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes