软件中类wordnet标识网络的自动提取

Jean-Rémy Falleri, M. Huchard, Mathieu Lafourcade, C. Nebut, V. Prince, M. Dao
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引用次数: 68

摘要

分配给软件维护的大部分时间都用于程序理解。已经创建了许多使用程序结构或外部文档的方法来帮助程序理解。然而,程序的标识符是一个重要的信息来源,但仍未广泛用于此目的。在本文中,我们提出了一种基于自然语言处理技术的方法,该方法以类似wordnet的结构(我们称之为\textit{词法视图})自动从软件标识符中提取和组织概念。这些词法视图对整个软件体系结构提供了有用的见解,并可用于改进许多软件工程任务的结果。该提案是根据24个开源程序的语料库进行评估的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Extraction of a WordNet-Like Identifier Network from Software
A large part of the time allocated to software maintenance is dedicated to the program comprehension. Many approaches that uses the program structure or the external documentation have been created to assist program comprehension. However, the identifiers of the program are an important source of information that is still not widely used for this purpose. In this article, we propose an approach, based upon Natural Language Processing techniques, that automatically extracts and organizes concepts from software identifiers in a WordNet-like structure that we call \textit{lexical views}. These lexical views give useful insight on an overall software architecture and can be used to improve results of many software engineering tasks. The proposal is evaluated against a corpus of 24 open source programs.
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