Source code analysis extractive approach to generate textual summary

Nowadays, obtain program features becomes a hot issue in source code comprehension. A large amount of efforts spent on source code understanding and comprehension to develop or maintain it. As a matter of fact, developers need a solution to rapidly detect which program functional need to revise. Hen...

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Main Author:	Dawood, Kareem Abbas
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Data Mining Text processing (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/71039/1/FSKTM%202017%203%20-%20IR.pdf
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id	my-upm-ir.71039
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spelling	my-upm-ir.710392019-08-13T07:52:43Z Source code analysis extractive approach to generate textual summary 2017-06 Dawood, Kareem Abbas Nowadays, obtain program features becomes a hot issue in source code comprehension. A large amount of efforts spent on source code understanding and comprehension to develop or maintain it. As a matter of fact, developers need a solution to rapidly detect which program functional need to revise. Hence, many studies in this field are concentrating on text mining techniques to take out the data by source code analysis and generate a code summary. However, in this thesis, we attempt to overcome this problem by propose a novel approach (Abstract Syntax Tree with predefined natural language text Template (AST-W-PDT)) to generates human readable summaries for Java methods role. The thesis describes how we developed a tool that the java source code can be summarized from the methods role. In evaluating our approach, we found that the automatically generated summary from a java class 1) is helpful to the developers in order to understand the role of the methods and will be useful, and 2) the automatically generated summary is precise. Data Mining Text processing (Computer science) 2017-06 Thesis http://psasir.upm.edu.my/id/eprint/71039/ http://psasir.upm.edu.my/id/eprint/71039/1/FSKTM%202017%203%20-%20IR.pdf text en public masters Universiti Putra Malaysia Data Mining Text processing (Computer science)
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
topic	Data Mining Text processing (Computer science)
spellingShingle	Data Mining Text processing (Computer science) Dawood, Kareem Abbas Source code analysis extractive approach to generate textual summary
description	Nowadays, obtain program features becomes a hot issue in source code comprehension. A large amount of efforts spent on source code understanding and comprehension to develop or maintain it. As a matter of fact, developers need a solution to rapidly detect which program functional need to revise. Hence, many studies in this field are concentrating on text mining techniques to take out the data by source code analysis and generate a code summary. However, in this thesis, we attempt to overcome this problem by propose a novel approach (Abstract Syntax Tree with predefined natural language text Template (AST-W-PDT)) to generates human readable summaries for Java methods role. The thesis describes how we developed a tool that the java source code can be summarized from the methods role. In evaluating our approach, we found that the automatically generated summary from a java class 1) is helpful to the developers in order to understand the role of the methods and will be useful, and 2) the automatically generated summary is precise.
format	Thesis
qualification_level	Master's degree
author	Dawood, Kareem Abbas
author_facet	Dawood, Kareem Abbas
author_sort	Dawood, Kareem Abbas
title	Source code analysis extractive approach to generate textual summary
title_short	Source code analysis extractive approach to generate textual summary
title_full	Source code analysis extractive approach to generate textual summary
title_fullStr	Source code analysis extractive approach to generate textual summary
title_full_unstemmed	Source code analysis extractive approach to generate textual summary
title_sort	source code analysis extractive approach to generate textual summary
granting_institution	Universiti Putra Malaysia
publishDate	2017
url	http://psasir.upm.edu.my/id/eprint/71039/1/FSKTM%202017%203%20-%20IR.pdf
_version_	1747812958931517440

Source code analysis extractive approach to generate textual summary

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