A Pilot Study of Diversity in High Impact Bugs. - Yutaro Kashiwa; Hayato Yoshiyuki; Yusuke Kukita; Masao Ohira (ICSME, 2014)

A Dataset of High Impact Bugs: Manually-Classified Issue Reports. - Masao Ohira; Yutaro Kashiwa; Yosuke Yamatani; Hayato Yoshiyuki; Yoshiya Maeda; Nachai Limsettho; Keisuke Fujino; Hideaki Hata; Akinori Ihara; Ken-ichi Matsumoto (MSR, 2015)

RAPTOR: Release-Aware and Prioritized Bug-Fixing Task Assignment Optimization. - Yutaro Kashiwa (ICSME, 2019)

What Are the Perception Gaps Between FLOSS Developers and SE Researchers? - A Case of Bug Finding Research. - Yutaro Kashiwa; Akinori Ihara; Masao Ohira (OSS, 2019)

Hierarchical Clustering of OSS License Statements toward Automatic Generation of License Rules. - Yunosuke Higashi; Masao Ohira; Yutaro Kashiwa; Yuki Manabe 001 (J. Inf. Process., 2019)

A Release-Aware Bug Triaging Method Considering Developers' Bug-Fixing Loads. - Yutaro Kashiwa; Masao Ohira (IEICE Trans. Inf. Syst., 2020)

Does Refactoring Break Tests and to What Extent? - Yutaro Kashiwa; Kazuki Shimizu; Bin Lin 008; Gabriele Bavota; Michele Lanza 001; Yasutaka Kamei; Naoyasu Ubayashi (ICSME, 2021)

PYREF: Refactoring Detection in Python Projects. - Hassan Atwi; Bin Lin 008; Nikolaos Tsantalis; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi; Gabriele Bavota; Michele Lanza 001 (SCAM, 2021)

Does shortening the release cycle affect refactoring activities: A case study of the JDT Core, Platform SWT, and UI projects. - Olivier Nourry; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi (Inf. Softw. Technol., 2021)

Hey APR! Integrate Our Fault Localization Skill: Toward Better Automated Program Repair. - Kyosuke Yamate; Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi (COMPSAC, 2022)

AIP: Scalable and Reproducible Execution Traces in Energy Studies on Mobile Devices. - Olivier Nourry; Yutaro Kashiwa; Bin Lin 008; Gabriele Bavota; Michele Lanza 001; Yasutaka Kamei (ICSME, 2022)

Do visual issue reports help developers fix bugs?: a preliminary study of using videos and images to report issues on GitHub. - Hiroki Kuramoto; Masanari Kondo; Yutaro Kashiwa; Yuta Ishimoto; Kaze Shindo; Yasutaka Kamei; Naoyasu Ubayashi (ICPC, 2022)

A Preliminary Analysis of GPL-Related License Violations in Docker Images. - Yunosuke Higashi; Katsunori Fukui; Yutaro Kashiwa; Masao Ohira (SANER, 2022)

An empirical study of issue-link algorithms: which issue-link algorithms should we use? - Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Osamu Mizuno (Empir. Softw. Eng., 2022)

An empirical study on self-admitted technical debt in modern code review. - Yutaro Kashiwa; Ryoma Nishikawa; Yasutaka Kamei; Masanari Kondo; Emad Shihab; Ryosuke Sato 001; Naoyasu Ubayashi (Inf. Softw. Technol., 2022)

A Pilot Study of Testing Infrastructure as Code for Cloud Systems. - Nabhan Suwanachote; Soratouch Pornmaneerattanatri; Yutaro Kashiwa; Kohei Ichikawa; Pattara Leelaprute; Arnon Rungsawang; Bundit Manaskasemsak; Hajimu Iida (APSEC, 2023)

An Empirical Study on the Use of Snapshot Testing. - Shun Fujita; Yutaro Kashiwa; Bin Lin 008; Hajimu Iida (ICSME, 2023)

An Empirical Investigation on the Performance of Domain Adaptation for T5 Code Completion. - Daisuke Fukumoto; Yutaro Kashiwa; Toshiki Hirao; Kenji Fujiwara; Hajimu Iida (SANER, 2023)

Automatic Parallelization with CodeT5+: A Model for Generating OpenMP Directives. - Soratouch Pornmaneerattanatri; Keichi Takahashi; Yutaro Kashiwa; Kohei Ichikawa; Hajimu Iida (CLUSTER Workshops, 2024)

Comparison of Methods for Automatically Predicting CVSS Base Vector. - Sho Isogai; Shinpei Ogata; Yutaro Kashiwa; Satoshi Yazawa; Kozo Okano; Takao Okubo; Hironori Washizaki (COMPSAC, 2024)

On the Use of ChatGPT for Code Review: Do Developers Like Reviews By ChatGPT? - Miku Watanabe; Yutaro Kashiwa; Bin Lin 008; Toshiki Hirao; Ken-ichi Yamaguchi; Hajimu Iida (EASE, 2024)

RevToken: A Token-Level Review Recommendation: How Far Are We? - Yasuhito Morikawa; Yutaro Kashiwa; Kenji Fujiwara; Hajimu Iida (ICSME, 2024)

Toward Extracting Learning Pattern: A Comparative Study of GPT-4o-mini and BERT Models in Predicting CVSS Base Vectors. - Sho Isogai; Shinpei Ogata; Yutaro Kashiwa; Satoshi Yazawa; Kozo Okano; Takao Okubo; Hironori Washizaki (ISSRE (Workshops), 2024)

Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns. - Mingyang Yin; Yutaro Kashiwa; Keheliya Gallaba; Mahmoud Alfadel; Yasutaka Kamei; Shane McIntosh (ASE, 2024)

An Empirical Investigation into the use of Dockerfile Preprocessors for Docker Image Management. - Wataru Mabuchi; Yutaro Kashiwa; Kenji Fujiwara; Hajimu Iida (SCAM, 2024)

TraceJIT: Evaluating the Impact of Behavioral Code Change on Just-In-Time Defect Prediction. - Issei Morita; Yutaro Kashiwa; Masanari Kondo; Jeongju Sohn; Shane McIntosh; Yasutaka Kamei; Naoyasu Ubayashi (SANER, 2024)

The Human Side of Fuzzing: Challenges Faced by Developers during Fuzzing Activities. - Olivier Nourry; Yutaro Kashiwa; Bin Lin 008; Gabriele Bavota; Michele Lanza 001; Yasutaka Kamei (ACM Trans. Softw. Eng. Methodol., 2024)

Understanding the characteristics and the role of visual issue reports. - Hiroki Kuramoto; Dong Wang 044; Masanari Kondo; Yutaro Kashiwa; Yasutaka Kamei; Naoyasu Ubayashi (Empir. Softw. Eng., 2024)

Leveraging Context Information for Self-Admitted Technical Debt Detection. - Miki Yonekura; Yutaro Kashiwa; Bin Lin 008; Kenji Fujiwara; Hajimu Iida (ICPC, 2025)

On the Evolution of Unused Dependencies in Java Project Releases: An Empirical Study. - Nabhan Suwanachote; Yagut Shakizada; Yutaro Kashiwa; Bin Lin 008; Hajimu Iida (MSR, 2025)

My Fuzzers Won't Build: An Empirical Study of Fuzzing Build Failures. - Olivier Nourry; Yutaro Kashiwa; Weiyi Shang; Honglin Shu; Yasutaka Kamei (ACM Trans. Softw. Eng. Methodol., 2025)