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Computer Science

D-Index
41
Citations
8424
World Ranking
8738
National Ranking
117

Overview

Kenichi Matsumoto is affiliated with the Nara Institute of Science and Technology in Japan. Their research primarily focuses on the field of Computer Science, with a substantial body of work related to Software Engineering and Information Systems.

The scientist's publication record includes numerous papers concentrated in several subfields of study such as Information Systems, Computer Science Applications, Computer Networks and Communications, Software, and Information Systems and Management.

Key topics covered in their research encompass:

  • Software Engineering Research
  • Open Source Software Innovations
  • Software Engineering Techniques and Practices
  • Scientific Computing and Data Management
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Artificial Intelligence in Healthcare and Education

Kenichi Matsumoto's research articles have been published in a variety of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEICE Transactions on Information and Systems
  • Empirical Software Engineering
  • IEEE Transactions on Software Engineering

Some of the recent papers include:

  • Predicting Defective Lines Using a Model-Agnostic Technique, 2020, IEEE Transactions on Software Engineering
  • SARS-CoV-2 infection initiates interleukin-17-enriched transcriptional response in different cells from multiple organs, 2021, Scientific Reports
  • Wait for it: identifying "On-Hold" self-admitted technical debt, 2020, Empirical Software Engineering
  • Meta-analysis of single-cell RNA-seq data reveals phenotypic switching of immune cells in severe COVID-19 patients, 2021, Computers in Biology and Medicine
  • Understanding shared links and their intentions to meet information needs in modern code review:, 2021, Empirical Software Engineering

Collaboration forms an important part of their research output, with frequent coauthors including:

  • Raula Gaikovina Kula
  • Hideaki Hata
  • Christoph Treude
  • Takashi Ishio
  • Tao Xiao

Best Publications

  • An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • The Impact of Automated Parameter Optimization on Defect Prediction Models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • Automated parameter optimization of classification techniques for defect prediction models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Kenichi Matsumoto

  • The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

    Chakkrit Tantithamthavorn;Ahmed E. Hassan;Kenichi Matsumoto

  • Who should review my code? A file location-based code-reviewer recommendation approach for Modern Code Review

    Patanamon Thongtanunam;Chakkrit Tantithamthavorn;Raula Gaikovina Kula;Norihiro Yoshida

  • Revisiting common bug prediction findings using effort-aware models

    Yasutaka Kamei;Shinsuke Matsumoto;Akito Monden;Ken-ichi Matsumoto

  • Software quality analysis by code clones in industrial legacy software

    A. Monden;D. Nakae;T. Kamiya;S. Sato;S. Sato

  • Analyzing individual performance of source code review using reviewers' eye movement

    Hidetake Uwano;Masahide Nakamura;Akito Monden;Ken-ichi Matsumoto

  • A practical method for watermarking Java programs

    A. Monden;H. Iida;K. Matsumoto;K. Inoue

  • Studying re-opened bugs in open source software

    Emad Shihab;Akinori Ihara;Yasutaka Kamei;Walid M. Ibrahim

  • The Effects of Over and Under Sampling on Fault-prone Module Detection

    Y. Kamei;A. Monden;S. Matsumoto;T. Kakimoto

  • Dynamic Software Birthmarks to Detect the Theft of Windows Applications

    Haruaki Tamada;Keiji Okamoto;Masahide Nakamura;Akito Monden

  • Predicting Re-opened Bugs: A Case Study on the Eclipse Project

    Emad Shihab;Akinori Ihara;Yasutaka Kamei;Walid M. Ibrahim

  • An analysis of developer metrics for fault prediction

    Shinsuke Matsumoto;Yasutaka Kamei;Akito Monden;Ken-ichi Matsumoto

  • Java Birthmarks —Detecting the Software Theft—

    Haruaki Tamada;Masahide Nakamura;Akito Monden;Ken-Ichi Matsumoto

  • The impact of mislabelling on the performance and interpretation of defect prediction models

    Chakkrit Tantithamthavorn;Shane McIntosh;Ahmed E. Hassan;Akinori Ihara

  • Predicting Defective Lines Using a Model-Agnostic Technique

    Supatsara Wattanakriengkrai;Patanamon Thongtanunam;Chakkrit Tantithamthavorn;Hideaki Hata

  • Constructing Home Network Systems and Integrated Services Using Legacy Home Appliances and Web Services

    Masahide Nakamura;Akihiro Tanaka;Hiroshi Igaki;Haruaki Tamada

  • Ginger2: an environment for computer-aided empirical software engineering

    K. Torii;K. Matsumoto;K. Nakakoji;Y. Takada

  • Exploiting self-modification mechanism for program protection

    Y. Kanzaki;A. Monden;M. Nakamura;K. Matsumoto

  • Accelerating cross-project knowledge collaboration using collaborative filtering and social networks

    Masao Ohira;Naoki Ohsugi;Tetsuya Ohoka;Ken-ichi Matsumoto

Frequent Co-Authors

Yasutaka Kamei
Yasutaka Kamei Kyushu University
Katsuro Inoue
Katsuro Inoue Ritsumeikan University
Shane McIntosh
Shane McIntosh McGill University
Ahmed E. Hassan
Ahmed E. Hassan Queen's University
Jacky Keung
Jacky Keung City University of Hong Kong
Christoph Treude
Christoph Treude Singapore Management University
Bram Adams
Bram Adams Queen's University
Meiyappan Nagappan
Meiyappan Nagappan University of Waterloo
Taro Kawai
Taro Kawai Nara Institute of Science and Technology
Takeshi Itoh
Takeshi Itoh Nara Institute of Science and Technology

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