Kazumasa Shimari

According to our database, Kazumasa Shimari authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating the effectiveness of size-limited execution trace with near-omniscient debugging.

Kazumasa Shimari, Takashi Ishio, Tetsuya Kanda, Katsuro Inoue

Sci. Comput. Program., 2024

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

CoRR, 2024

Comparing Execution Trace Using Merkle- Tree to Detect Backward Incompatibilities.

Atsuhito Yamaoka, Teyon Son, Kazumasa Shimari, Takashi Ishio, Kenichi Matsumoto

Proceedings of the IEEE International Conference on Software Analysis, 2024

Test Case Generation for Python Libraries Using Dependent Projects' Test-Suites.

Keita Morisaki, Kazumasa Shimari, Takashi Ishio, Kenichi Matsumoto

Proceedings of the IEEE International Conference on Software Analysis, 2024

2023

Leveraging Execution Trace with ChatGPT: A Case Study on Automated Fault Diagnosis.

Takafumi Sakura, Ryo Soga, Hideyuki Kanuka, Kazumasa Shimari, Takashi Ishio

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Towards Assessment of Practicality of Introductory Programming Course Using Vocabulary of Textbooks, Assignments, and Actual Projects.

Kazuki Fukushima, Takashi Ishio, Kazumasa Shimari, Kenichi Matsumoto

Proceedings of the 35th International Conference on Software Engineering Education and Training, 2023

2022

JISDLab: A web-based interactive literate debugging environment.

Sakutaro Sugiyama, Takashi Kobayashi, Kazumasa Shimari, Takashi Ishio

Proceedings of the IEEE International Conference on Software Analysis, 2022

Comparing Execution Traces of Jupyter Notebook for Checking Correctness of Refactoring.

Fumiya Sato, Ayano Ikegami, Takashi Ishio, Kazumasa Shimari, Kenichi Matsumoto

Proceedings of the 16th IEEE International Workshop on Software Clones, 2022

A Similarity-based Assisted Grading for Introductory Programming Course.

Kazuki Fukushima, Takashi Ishio, Kazumasa Shimari, Kenichi Matsumoto

Proceedings of the 16th IEEE International Workshop on Software Clones, 2022

didiffff: a viewer for comparing changes in both code and execution traces.

Tetsuya Kanda, Kazumasa Shimari, Katsuro Inoue

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

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

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021

NOD4J: Near-omniscient debugging tool for Java using size-limited execution trace.

Kazumasa Shimari, Takashi Ishio, Tetsuya Kanda, Naoto Ishida, Katsuro Inoue

Sci. Comput. Program., 2021

2019

PADLA: a dynamic log level adapter using online phase detection.

Tsuyoshi Mizouchi, Kazumasa Shimari, Takashi Ishio, Katsuro Inoue

Proceedings of the 27th International Conference on Program Comprehension, 2019

Near-Omniscient Debugging for Java Using Size-Limited Execution Trace.

Kazumasa Shimari, Takashi Ishio, Tetsuya Kanda, Katsuro Inoue

Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019