Leveraging Textual and Non-Textual Features for Documentation Decluttering

被引：0

作者：

Colavito, Giuseppe ^{[1
]}

Basile, Pierpaolo ^{[1
]}

Novielli, Nicole ^{[1
]}

机构：

[1] Univ Bari Aldo Moro, Dept Comp Sci, Bari, Italy

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2020) | 2020年

关键词：

Machine Learning; Source Code Comments;

D O I：

10.1109/ICSME46990.2020.00113

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper describes the participation of a team from the University of Bari in the Decluttering Challenge organized in the scope of the DocGen2 workshop. We propose a supervised approach relying on a minimal set of non-textual features (length, overlapping between the comment text and the source code, code block type, tags, comment type) and classical textual features (bag-of-words). Our system ranked 2nd in the documentation decluttering task.

引用

页码：862 / 863

页数：2

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