Kenichi MATSUMOTO

Analysis of Work Efficiency and Quality of Software Maintenance Using Cross-Company Dataset
Masateru TSUNODA Akito MONDEN Kenichi MATSUMOTO Sawako OHIWA Tomoki OSHINO 
Publication:   
Publication Date: 2021/01/01
Vol. E104-D  No. 1  pp. 76-90
Type of Manuscript:  Special Section PAPER (Special Section on Empirical Software Engineering)
Category: 
Keyword: 
cross-company dataset, linear regression, work efficiency, working time, 
 Summary | Full Text:PDF(3.1MB)
Influence of Outliers on Estimation Accuracy of Software Development Effort
Kenichi ONO Masateru TSUNODA Akito MONDEN Kenichi MATSUMOTO 
Publication:   
Publication Date: 2021/01/01
Vol. E104-D  No. 1  pp. 91-105
Type of Manuscript:  Special Section PAPER (Special Section on Empirical Software Engineering)
Category: 
Keyword: 
case-based reasoning, multiple linear regression, effort prediction, outlier, 
 Summary | Full Text:PDF(2.5MB)
How Does Time Conscious Rule of Gamification Affect Coding and Review?
Kohei YOSHIGAMI Taishi HAYASHI Masateru TSUNODA Hidetake UWANO Shunichiro SASAKI Kenichi MATSUMOTO 
Publication:   
Publication Date: 2019/12/01
Vol. E102-D  No. 12  pp. 2435-2440
Type of Manuscript:  Special Section LETTER (Special Section on Empirical Software Engineering)
Category: 
Keyword: 
human factors, motivation, work efficiency, gamification, 
 Summary | Full Text:PDF(616.7KB)
Understanding Developer Commenting in Code Reviews
Toshiki HIRAO Raula GAIKOVINA KULA Akinori IHARA Kenichi MATSUMOTO 
Publication:   
Publication Date: 2019/12/01
Vol. E102-D  No. 12  pp. 2423-2432
Type of Manuscript:  Special Section PAPER (Special Section on Empirical Software Engineering)
Category: 
Keyword: 
modern code review, review comments, mining software repositories, empirical study, machine learning, 
 Summary | Full Text:PDF(1MB)
An Empirical Study of README contents for JavaScript Packages
Shohei IKEDA Akinori IHARA Raula Gaikovina KULA Kenichi MATSUMOTO 
Publication:   
Publication Date: 2019/02/01
Vol. E102-D  No. 2  pp. 280-288
Type of Manuscript:  PAPER
Category: Software Engineering
Keyword: 
documentation, README, association rule mining, JavaScript packages, 
 Summary | Full Text:PDF(749.4KB)
How are IF-Conditional Statements Fixed Through Peer CodeReview?
Yuki UEDA Akinori IHARA Takashi ISHIO Toshiki HIRAO Kenichi MATSUMOTO 
Publication:   
Publication Date: 2018/11/01
Vol. E101-D  No. 11  pp. 2720-2729
Type of Manuscript:  PAPER
Category: Software Engineering
Keyword: 
codeReview, if statement, code readability, 
 Summary | Full Text:PDF(817.3KB)
Extraction of Library Update History Using Source Code Reuse Detection
Kanyakorn JEWMAIDANG Takashi ISHIO Akinori IHARA Kenichi MATSUMOTO Pattara LEELAPRUTE 
Publication:   
Publication Date: 2018/03/01
Vol. E101-D  No. 3  pp. 799-802
Type of Manuscript:  LETTER
Category: Software Engineering
Keyword: 
visualization, software reuse, source code similarity, repository mining, 
 Summary | Full Text:PDF(245.9KB) | (Errata[Uploaded on June 1,2018])
Investigating and Projecting Population Structures in Open Source Software Projects: A Case Study of Projects in GitHub
Saya ONOUE Hideaki HATA Akito MONDEN Kenichi MATSUMOTO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/05/01
Vol. E99-D  No. 5  pp. 1304-1315
Type of Manuscript:  PAPER
Category: Software Engineering
Keyword: 
OSS, software development communities, software population pyramids, demography, 
 Summary | Full Text:PDF(838.4KB) | (Errata[Uploaded on July 1,2016])
LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation
Passakorn PHANNACHITTA Akito MONDEN Jacky KEUNG Kenichi MATSUMOTO 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/01/01
Vol. E99-D  No. 1  pp. 151-162
Type of Manuscript:  PAPER
Category: Software Engineering
Keyword: 
software development effort estimation, analogy, adaptation, productivity factor, empirical experiments, 
 Summary | Full Text:PDF(467.5KB)