Near-Omniscient Debugging for Java Using Size-Limited Execution Trace. - Kazumasa Shimari; Takashi Ishio; Tetsuya Kanda 001; Katsuro Inoue (ICSME, 2019)

PADLA: a dynamic log level adapter using online phase detection. - Tsuyoshi Mizouchi; Kazumasa Shimari; Takashi Ishio; Katsuro Inoue (ICPC, 2019)

NOD4J: Near-omniscient debugging tool for Java using size-limited execution trace. - Kazumasa Shimari; Takashi Ishio; Tetsuya Kanda 001; Naoto Ishida; Katsuro Inoue (Sci. Comput. Program., 2021)

Selecting Test Cases based on Similarity of Runtime Information: A Case Study of an Industrial Simulator. - Kazumasa Shimari; Masahiro Tanaka; Takashi Ishio; Makoto Matsushita; Katsuro Inoue; Satoru Takanezawa (ICSME, 2022)

didiffff: a viewer for comparing changes in both code and execution traces. - Tetsuya Kanda 001; Kazumasa Shimari; Katsuro Inoue (ICPC, 2022)

A Similarity-based Assisted Grading for Introductory Programming Course. - Kazuki Fukushima; Takashi Ishio; Kazumasa Shimari; Kenichi Matsumoto (IWSC, 2022)

Comparing Execution Traces of Jupyter Notebook for Checking Correctness of Refactoring. - Fumiya Sato; Ayano Ikegami; Takashi Ishio; Kazumasa Shimari; Kenichi Matsumoto (IWSC, 2022)

JISDLab: A web-based interactive literate debugging environment. - Sakutaro Sugiyama; Takashi Kobayashi 001; Kazumasa Shimari; Takashi Ishio (SANER, 2022)

Towards Assessment of Practicality of Introductory Programming Course Using Vocabulary of Textbooks, Assignments, and Actual Projects. - Kazuki Fukushima; Takashi Ishio; Kazumasa Shimari; Kenichi Matsumoto (CSEE&T, 2023)

Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis. - Takafumi Sakura; Ryo Soga; Hideyuki Kanuka; Kazumasa Shimari; Takashi Ishio (ICSME, 2023)

Nigerian Software Engineer or American Data Scientist? GitHub Profile Recruitment Bias in Large Language Models. - Takashi Nakano; Kazumasa Shimari; Raula Gaikovina Kula; Christoph Treude; Marc Cheong; Kenichi Matsumoto (ICSME, 2024)

How Maintainable is Proficient Code? A Case Study of Three PyPI Libraries. - Indira Febriyanti; Youmei Fan; Kazumasa Shimari; Kenichi Matsumoto; Raula Gaikovina Kula (ISSRE (Workshops), 2024)

Initial Investigation of Behavioral Changes of Obfuscated Programs Caused by Code Optimization. - Tetsuya Kitaoka; Yuichiro Kanzaki; Takashi Ishio; Kazumasa Shimari; Kenichi Matsumoto (ISSRE (Workshops), 2024)

Test Case Generation for Python Libraries Using Dependent Projects' Test-Suites. - Keita Morisaki; Kazumasa Shimari; Takashi Ishio; Kenichi Matsumoto (SANER (Companion), 2024)

Comparing Execution Trace Using Merkle- Tree to Detect Backward Incompatibilities. - Atsuhito Yamaoka; Teyon Son; Kazumasa Shimari; Takashi Ishio; Kenichi Matsumoto (SANER, 2024)

Evaluating the effectiveness of size-limited execution trace with near-omniscient debugging. - Kazumasa Shimari; Takashi Ishio; Tetsuya Kanda 001; Katsuro Inoue (Sci. Comput. Program., 2024)

Round Outcome Prediction in VALORANT Using Tactical Features from Video Analysis. - Nirai Hayakawa; Kazumasa Shimari; Kazuma Yamasaki; Hirotatsu Hoshikawa; Rikuto Tsuchida; Kenichi Matsumoto (CoG, 2025)

eye2vec: Learning Distributed Representations of Eye Movement for Program Comprehension Analysis. - Haruhiko Yoshioka; Kazumasa Shimari; Hidetake Uwano; Kenichi Matsumoto (ETRA, 2025)

Mining for Lags in Updating Critical Security Threats: A Case Study of Log4j Library. - Hidetake Tanaka; Kazuma Yamasaki; Momoka Hirose; Takashi Nakano; Youmei Fan; Kazumasa Shimari; Raula Gaikovina Kula; Kenichi Matsumoto (MSR, 2025)

Do Developers Depend on Deprecated Library Versions? A Mining Study of Log4j. - Haruhiko Yoshioka; Sila Lertbanjongngam; Masayuki Inaba; Youmei Fan; Takashi Nakano; Kazumasa Shimari; Raula Gaikovina Kula; Kenichi Matsumoto (MSR, 2025)

Using LLMs for Security Advisory Investigations: How Far Are We? - Bayu Fedra Abdullah; Yusuf Sulistyo Nugroho; Brittany Reid; Raula Gaikovina Kula; Kazumasa Shimari; Kenichi Matsumoto (CoRR, 2025)

Uncovering Intention through LLM-Driven Code Snippet Description Generation. - Yusuf Sulistyo Nugroho; Farah Danisha Salam; Brittany Reid; Raula Gaikovina Kula; Kazumasa Shimari; Kenichi Matsumoto (CoRR, 2025)

Evaluating the Resilience of Obfuscated Code Against LLM-based Function Name Recovery in MATE Attacks. - Tetsuya Kitaoka; Yuichiro Kanzaki; Takashi Ishio; Kazumasa Shimari; Kenichi Matsumoto (Zenodo, 2025)

Understanding the Characteristics of LLM-Generated Property-Based Tests in Exploring Edge Cases. - Hidetake Tanaka; Haruto Tanaka; Kazumasa Shimari; Kenichi Matsumoto (CoRR, 2025)