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)

An Initial Analysis of Repair and Side-effect Prediction for Neural Networks. - Yuta Ishimoto; Ken Matsui; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei (CAIN, 2023)

Uncertainty-aware Metamorphic Testing for Robust Object Detection Models. - Jianhong Wang; Yuta Ishimoto; Masanari Kondo; Yasutaka Kamei; Naoyasu Ubayashi (QRS Companion, 2023)

PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks. - Yuta Ishimoto; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei (Inf. Softw. Technol., 2023)

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 (APSEC, 2024)

Evaluating Mutation-based Fault Localization for Quantum Programs. - Yuta Ishimoto; Masanari Kondo; Naoyasu Ubayashi; Yasutaka Kamei; Ryota Katsube; Naoto Sato; Hideto Ogawa (CoRR, 2025)

Repairs and Breaks Prediction for Deep Neural Networks. - Yuta Ishimoto; Masanari Kondo; Lei Ma 003; Naoyasu Ubayashi; Yasutaka Kamei (ACM Trans. Softw. Eng. Methodol., 2025)

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs. - Sota Nakashima; Yuta Ishimoto; Masanari Kondo; Tao Xiao; Yasutaka Kamei (CoRR, 2025)