Kenichi MATSUMOTO

A Novel Approach to Address External Validity Issues in Fault Prediction Using Bandit Algorithms
Teruki HAYAKAWA Masateru TSUNODA Koji TODA Keitaro NAKASAI Amjed TAHIR Kwabena Ebo BENNIN Akito MONDEN Kenichi MATSUMOTO 
Publication:   
Publication Date: 2021/02/01
Vol. E104-D  No. 2  pp. 327-331
Type of Manuscript:  LETTER
Category: Software Engineering
Keyword: 
defect prediction, multi-armed bandit, diversity of datasets, dynamic model selection, risk-based testing, 
 Summary | Full Text:PDF(459.4KB)
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)