Is It Professional or Exploratory? Classifying Repositories Through README Analysis

URN to cite this document:: urn:nbn:de:bvb:355-epub-774466
DOI to cite this document:: 10.5283/epub.77446

Auch, Maximilian

; Balluff, Maximilian ; Mandl, Peter

; Wolff, Christian

License: Creative Commons Attribution Non-commercial No Derivatives 4.0
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Date of publication of this fulltext: 29 Jul 2025 04:43

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Abstract

This study introduces a new approach to determine whether GitHub repositories are professional or exploratory by analyzing README.md files. We crawled and manually labeled a dataset that contains over 200 repositories to evaluate various classification methods. We compared state-of-the-art Large Language Models (LLM) against traditional Natural Language Processing (NLP) techniques, including term ...