Publications

An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Quantum computers, which utilize the principles of quantum mechanics, are expected to be applied to a wide range of fields. With the …
Yuta Ishimoto, Yuto Nakamura, Ryota Katsube, Naoto Sato, Hideto Ogawa, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
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An Empirical Study on Self-Admitted Technical Debt in Quantum Software
Repairs and Breaks Prediction for Deep Neural Networks
With the increasing prevalence of software incorporating deep neural networks (DNNs), quality assurance for these software systems has …
Yuta Ishimoto, Masanari Kondo, Lei Ma, Naoyasu Ubayashi, Yasutaka Kamei
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Repairs and Breaks Prediction for Deep Neural Networks
Uncertainty-aware Metamorphic Testing for Robust Object Detection Models
Object detection models are widely used in safety-critical systems in industrial fields such as autonomous driving. It is essential to …
Jianhong Wang, Yuta Ishimoto, Masanari Kondo, Yasutaka Kamei, Naoyasu Ubayashi
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An Initial Analysis of Repair and Side-effect Prediction for Neural Networks
With the prevalence of software systems adopting neural network models, the quality assurance of these systems has become crucial. …
Yuta Ishimoto, Ken Matsui, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
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An Initial Analysis of Repair and Side-effect Prediction for Neural Networks
PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks
Context: If deep learning models in safety–critical systems misbehave, serious accidents may occur. Previous studies have proposed …
Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei
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PAFL: Probabilistic Automaton-based Fault Localization for Recurrent Neural Networks
Do visual issue reports help developers fix bugs? a preliminary study of using videos and images to report issues on GitHub
Issue reports are a pivotal interface between developers and users for receiving information about bugs in their products. In practice, …
Hiroki Kuramoto, Masanari Kondo, Yutaro Kashiwa, Yuta Ishimoto, Kaze Shindo, Yasutaka Kamei, Naoyasu Ubayashi
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