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Source code analysis extractive approach to generate textual summary


Citation

Dawood, Kareem Abbas and Sharif, Khaironi Yatim and Koh, Tieng Wei (2017) Source code analysis extractive approach to generate textual summary. Journal of Theoretical and Applied Information Technology, 95 (21). 5765 - 5777. ISSN 1992-8645; ESSN: 1817-3195

Abstract

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 paper, we attempt to overcome this problem by propose a new approach (Abstract Syntax Tree with predefined natural language text Template (AST-W-PDT)) to generates human readable summaries for Java methods role. This paper 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.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Asian Research Publication Network
Keywords: Source code summarization; Program comprehension; Source code maintenance; Abstract syntax tree
Depositing User: Mohd Hafiz Che Mahasan
Date Deposited: 26 Sep 2018 02:29
Last Modified: 26 Sep 2018 02:29
URI: http://psasir.upm.edu.my/id/eprint/63265
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