Yuta Ishimoto

According to our database, Yuta Ishimoto authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Why Agentic-PRs Get Rejected: A Comparative Study of Coding Agents.

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Shane Mclntosh, Yasutaka Kamei

CoRR, February, 2026

Leveraging Mutation Analysis for LLM-based Repair of Quantum Programs.

Chihiro Yoshida, Yuta Ishimoto, Olivier Nourry, Masanari Kondo, Makoto Matsushita, Yasutaka Kamei, Yoshiki Higo

CoRR, January, 2026

2025

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs.

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei

CoRR, June, 2025

Repairs and Breaks Prediction for Deep Neural Networks.

Yuta Ishimoto, Masanari Kondo, Lei Ma, Naoyasu Ubayashi, Yasutaka Kamei

ACM Trans. Softw. Eng. Methodol., May, 2025

Evaluating Mutation-based Fault Localization for Quantum Programs.

Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei, Ryota Katsube, Naoto Sato, Hideto Ogawa

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

How Far Have LLMs Come Toward Automated SATD Taxonomy Construction?

Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024

An Empirical Study on Self-Admitted Technical Debt in Quantum Software.

Yuta Ishimoto, Yuto Nakamura, Ryota Katsube, Naoto Sato, Hideto Ogawa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks.

Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei

Inf. Softw. Technol., 2023

Uncertainty-aware Metamorphic Testing for Robust Object Detection Models.

Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

An Initial Analysis of Repair and Side-effect Prediction for Neural Networks.

Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei

Proceedings of the 2nd IEEE/ACM International Conference on AI Engineering, 2023

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

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