Presentation 2014-03-07
Software-Aided Feature Selection for Open Source Software by Applying Brainstorming Methodology Based on Existing Open Source Software
Md. Mahfuzus Salam KHAN, Takaaki GOTO, Tetsuro NISHINO,
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Abstract(in English) Teams with small size lacks of expert knowledge while starting a new open source software (OSS) project where there exists no client. They need to do lot of research on existing projects in order to decide software features as well as to make the best use of OSS. In this research we propose a software-aided system to support OSS requirement eliciting process by applying brainstorming methodology - hint keywords generated from source-code package and file name property are provided by the system - based on existing OSS projects. Furthermore, we also discuss about a technique to prepare an OSS knowledge base. Such a software-aided system can help developers to get new insight and as well to make the development process rapid.
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Keyword(in English) Software Comprehension / Requirement Analysis / Brainstorming Methodology / Open Source Software
Paper # KBSE2013-96
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Committee KBSE
Conference Date 2014/2/27(1days)
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Registration To Knowledge-Based Software Engineering (KBSE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Software-Aided Feature Selection for Open Source Software by Applying Brainstorming Methodology Based on Existing Open Source Software
Sub Title (in English)
Keyword(1) Software Comprehension
Keyword(2) Requirement Analysis
Keyword(3) Brainstorming Methodology
Keyword(4) Open Source Software
1st Author's Name Md. Mahfuzus Salam KHAN
1st Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications()
2nd Author's Name Takaaki GOTO
2nd Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications
3rd Author's Name Tetsuro NISHINO
3rd Author's Affiliation Graduate School of Informatics and Engineering, The University of Electro-Communications
Date 2014-03-07
Paper # KBSE2013-96
Volume (vol) vol.113
Number (no) 475
Page pp.pp.-
#Pages 6
Date of Issue