Automatically Extracting Subroutine Summary Descriptions from Unstructured Comments
December 21, 2019 Β· Declared Dead Β· π IEEE International Conference on Software Analysis, Evolution, and Reengineering
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Authors
Zachary Eberhart, Alexander LeClair, Collin McMillan
arXiv ID
1912.10198
Category
cs.SE: Software Engineering
Citations
9
Venue
IEEE International Conference on Software Analysis, Evolution, and Reengineering
Last Checked
4 months ago
Abstract
Summary descriptions of subroutines are short (usually one-sentence) natural language explanations of a subroutine's behavior and purpose in a program. These summaries are ubiquitous in documentation, and many tools such as JavaDocs and Doxygen generate documentation built around them. And yet, extracting summaries from unstructured source code repositories remains a difficult research problem -- it is very difficult to generate clean structured documentation unless the summaries are annotated by programmers. This becomes a problem in large repositories of legacy code, since it is cost prohibitive to retroactively annotate summaries in dozens or hundreds of old programs. Likewise, it is a problem for creators of automatic documentation generation algorithms, since these algorithms usually must learn from large annotated datasets, which do not exist for many programming languages. In this paper, we present a semi-automated approach via crowdsourcing and a fully-automated approach for annotating summaries from unstructured code comments. We present experiments validating the approaches, and provide recommendations and cost estimates for automatically annotating large repositories.
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