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JSEA: A Program Comprehension Tool Adopting LDA-based Topic Modeling

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Bibliographic Details
Title: JSEA: A Program Comprehension Tool Adopting LDA-based Topic Modeling
Authors: Tianxia Wang, Yan Liu
Publisher Information: The Science and Information (SAI) Organization
Publication Year: 2017
Collection: The Science and Information (SAI) Organization: Publications
Subject Terms: Java program comprehension, Topic models, Interactive tool
Description: International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017 ; Understanding a large number of source code is a big challenge for software development teams in software maintenance process. Using topic models is a promising way to automatically discover feature and structure from textual software assets, and thus support developers comprehending programs on software maintenance. To explore the application of applying topic modeling to software engineering practice, we proposed JSEA (Java Software Engineers Assistant), an interactive program comprehension tool adopting LDA-based topic modeling, to support developers during performing software maintenance tasks. JSEA utilizes essential information automatically generated from Java source code to establish a project overview and to bring search capability for software engineers. The results of our preliminary experimentation suggest the practicality of JSEA. ; http://thesai.org/Downloads/Volume8No3/Paper_59-JSEA_A_Program_Comprehension_Tool_Adopting.pdf
Document Type: text
Language: English
Relation: http://dx.doi.org/10.14569/IJACSA.2017.080359
DOI: 10.14569/IJACSA.2017.080359
Availability: https://doi.org/10.14569/IJACSA.2017.080359
Accession Number: edsbas.A6B9B29B
Database: BASE
Description
Abstract:International Journal of Advanced Computer Science and Applications(IJACSA), 8(3), 2017 ; Understanding a large number of source code is a big challenge for software development teams in software maintenance process. Using topic models is a promising way to automatically discover feature and structure from textual software assets, and thus support developers comprehending programs on software maintenance. To explore the application of applying topic modeling to software engineering practice, we proposed JSEA (Java Software Engineers Assistant), an interactive program comprehension tool adopting LDA-based topic modeling, to support developers during performing software maintenance tasks. JSEA utilizes essential information automatically generated from Java source code to establish a project overview and to bring search capability for software engineers. The results of our preliminary experimentation suggest the practicality of JSEA. ; http://thesai.org/Downloads/Volume8No3/Paper_59-JSEA_A_Program_Comprehension_Tool_Adopting.pdf
DOI:10.14569/IJACSA.2017.080359