DocGen: Generating Detailed Parameter Docstrings in Python
November 11, 2023 Β· Declared Dead Β· π arXiv.org
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Authors
Vatsal Venkatkrishna, Durga Shree Nagabushanam, Emmanuel Iko-Ojo Simon, Melina Vidoni
arXiv ID
2311.06453
Category
cs.SE: Software Engineering
Cross-listed
cs.CL
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Documentation debt hinders the effective utilization of open-source software. Although code summarization tools have been helpful for developers, most would prefer a detailed account of each parameter in a function rather than a high-level summary. However, generating such a summary is too intricate for a single generative model to produce reliably due to the lack of high-quality training data. Thus, we propose a multi-step approach that combines multiple task-specific models, each adept at producing a specific section of a docstring. The combination of these models ensures the inclusion of each section in the final docstring. We compared the results from our approach with existing generative models using both automatic metrics and a human-centred evaluation with 17 participating developers, which proves the superiority of our approach over existing methods.
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