ハシモト　マサトモ   Masatomo Hashimoto   橋本　政朋    所属   千葉工業大学  人工知能・ソフトウェア技術研究センター 人工知能・ソフトウェア技術研究センター    職種   主席研究員
言語種別	英語
発行・発表の年月	2012/03
形態種別	国際会議プロシーディングス
査読	査読あり
標題	Enhancing History-Based Concern Mining with Fine-Grained Change Analysis
執筆形態	共著
掲載誌名	Proceedings of the 16th European Conference on Software Maintenance and Reengineering
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.75-84
著者・共著者	Masatomo Hashimoto, Akira Mori
概要	In this paper, we reinforce history-based concern mining techniques with fine-grained change analysis based on tree differencing on abstract syntax trees. Source code changes are recorded as facts over source code regions according to the RDF (Resource Description Framework) data model so that the analysis can be performed in terms of fact base queries. To show the capability of the method, we report on an experiment that emulates the state-of-the-art concern mining technique called COMMIT using our own change analysis tool called Diff/TS. A comparative case study on several open source projects written in C and Java shows that our technique improves results and overcomes the language barrier in the analysis.
DOI	10.1109/CSMR.2012.18
ISBN	978-0-7695-4666-7
ISSN	1534-5351
researchmap用URL	https://ieeexplore.ieee.org/document/6178855