An Approach to Program Understanding by Natural Language Understanding

An Approach to Program Understanding by Natural Language Understanding (1999)

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by Letha H. Etzkorn , Lisa L. Bowen , Carl G. Davis

Venue:	Natural Language Engineering
Citations:	11 - 2 self

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Datum	Value	Source
TITLE	An Approach to Program Understanding by Natural Language Understanding	SVM HeaderParse 0.1
AUTHOR NAME	Letha H. Etzkorn	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; The University of Alabama in Huntsville	SVM HeaderParse 0.2
AUTHOR ADDR	Huntsville, AL 35899	SVM HeaderParse 0.1
AUTHOR NAME	Lisa L. Bowen	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; The University of Alabama in Huntsville	SVM HeaderParse 0.2
AUTHOR ADDR	Huntsville, AL 35899	SVM HeaderParse 0.1
AUTHOR NAME	Carl G. Davis	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; The University of Alabama in Huntsville	SVM HeaderParse 0.2
AUTHOR ADDR	Huntsville, AL 35899	SVM HeaderParse 0.1
ABSTRACT	An automated tool to assist in the understanding of legacy code components can be useful both in the areas of software reuse and software maintenance. Most previous work in this area has concentrated on functionally-oriented code. Whereas objectoriented code has been shown to be inherently more reusable than functionally-oriented code, in many cases the eventual reuse of the object-oriented code was not considered during development. A knowledge-based, natural language processing approach to the automated understanding of object-oriented code as an aid to the reuse of object-oriented code is described. A system, called the PATRicia system (Program Analysis Tool for Reuse) that implements the approach is examined. The natural language processing/information extraction system that comprises a large part of the PATRicia system is discussed and the knowledge-base of the PATRicia system, in the form of conceptual graphs, is described. Reports provided by natural language-generation in the ...	user correction - Legacy Corrections
YEAR	1999	INFERENCE
VENUE	Natural Language Engineering	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	1--18	INFERENCE
VOLUME	5	INFERENCE
CITATIONS	29 found	ParsCit 1.0