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ORCIDKazuki Munakata
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2020 – today
- 2024
[c15]Hiroshi Tanaka
, Masaru Ide, Jun Yajima, Sachiko Onodera, Kazuki Munakata, Nobukazu Yoshioka:
Taxonomy of Generative AI Applications for Risk Assessment. CAIN 2024: 288-289- 2023
- [c14]Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka, Kazuki Munakata:
Extensible Modeling Framework for Reliable Machine Learning System Analysis. CAIN 2023: 94-95 - [c13]Hiroshi Tanaka, Masaru Ide, Kazuki Munakata, Hironori Washizaki, Nobukazu Yoshioka:
Activity-based modeling strategy for reliable machine learning system analysis targeting GUI-based applications. DSA 2023: 135-143 - [c12]Satoshi Munakata, Susumu Tokumoto, Koji Yamamoto, Kazuki Munakata:
Towards Formal Repair and Verification of Industry-scale Deep Neural Networks. ICSE Companion 2023: 360-364 - [c11]Satoshi Munakata, Caterina Urban, Haruki Yokoyama, Koji Yamamoto, Kazuki Munakata:
Verifying Attention Robustness of Deep Neural Networks Against Semantic Perturbations. NFM 2023: 37-61 - 2022
- [c10]Satoshi Munakata, Caterina Urban, Haruki Yokoyama, Koji Yamamoto, Kazuki Munakata:
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations. APSEC 2022: 560-561 - [c9]Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi:
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History. SANER 2022: 1111-1121 - [i5]Shogo Tokui, Susumu Tokumoto, Akihito Yoshii, Fuyuki Ishikawa, Takao Nakagawa, Kazuki Munakata, Shinji Kikuchi:
NeuRecover: Regression-Controlled Repair of Deep Neural Networks with Training History. CoRR abs/2203.00191 (2022) - [i4]Satoshi Munakata, Caterina Urban, Haruki Yokoyama, Koji Yamamoto, Kazuki Munakata:
Verifying Attention Robustness of Deep Neural Networks against Semantic Perturbations. CoRR abs/2207.05902 (2022) - [i3]Zhijie Wang, Yuheng Huang, Lei Ma, Haruki Yokoyama, Susumu Tokumoto, Kazuki Munakata:
An Exploratory Study of AI System Risk Assessment from the Lens of Data Distribution and Uncertainty. CoRR abs/2212.06828 (2022) - 2021
- [i2]Mehdi Bahrami, N. C. Shrikanth, Shade Ruangwan, Lei Liu, Yuji Mizobuchi, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata, Tim Menzies:
PyTorrent: A Python Library Corpus for Large-scale Language Models. CoRR abs/2110.01710 (2021) - [i1]Mehdi Bahrami, N. C. Shrikanth, Yuji Mizobuchi, Lei Liu, Masahiro Fukuyori, Wei-Peng Chen, Kazuki Munakata:
AugmentedCode: Examining the Effects of Natural Language Resources in Code Retrieval Models. CoRR abs/2110.08512 (2021) - 2020
- [c8]Koji Yamamoto, Takao Nakagawa, Shogo Tokui, Kazuki Munakata:
Call Sequence List Distiller for Practical Stateful API Testing. SEKE 2020: 342-346
2010 – 2019
- 2019
- [c7]Masaki Hosono, Susumu Tokumoto, Supasit Monpratarnchai, Hironori Washizaki, Kiyoshi Honda, Hiromasa Nagumo, Hisanobu Sonoda, Yoshiaki Fukazawa, Kazuki Munakata, Takao Nakagawa, Yusuke Nemoto:
Inappropriate Usage Examples in Web API Documentations. ICSME 2019: 343-347 - [c6]Takao Nakagawa, Kazuki Munakata, Koji Yamamoto:
Applying Modified Code Entity-Based Regression Test Selection for Manual End-to-End Testing of Commercial Web Applications. ISSRE Workshops 2019: 1-6 - 2017
- [j2]Hiroaki Yoshida, Guodong Li, Takuki Kamiya, Indradeep Ghosh, Sreeranga P. Rajan, Susumu Tokumoto, Kazuki Munakata, Tadahiro Uehara:
KLOVER: Automatic Test Generation for C and C Programs, Using Symbolic Execution. IEEE Softw. 34(5): 30-37 (2017) - [c5]Jieming Chi, Kiyoshi Honda, Hironori Washizaki, Yoshiaki Fukazawa, Kazuki Munakata, Sumie Morita, Tadahiro Uehara, Rieko Yamamoto:
Defect Analysis and Prediction by Applying the Multistage Software Reliability Growth Model. IWESEP 2017: 7-11 - 2015
- [c4]Kiyoshi Honda, Hironori Washizaki, Yoshiaki Fukazawa, Kazuki Munakata, Sumie Morita, Tadahiro Uehara, Rieko Yamamoto:
Detection of unexpected situations by applying software reliability growth models to test phases. ISSRE Workshops 2015: 2-5 - 2013
- [c3]Kazuki Munakata, Susumu Tokumoto, Tadahiro Uehara:
Model-based test case generation using symbolic execution. JAMAICA@ISSTA 2013: 23-28 - 2012
- [c2]Susumu Tokumoto, Tadahiro Uehara, Kazuki Munakata, Haruyuki Ishida, Toru Eguchi, Masafumi Baba:
Enhancing Symbolic Execution to Test the Compatibility of Re-engineered Industrial Software. APSEC 2012: 314-317 - [c1]Kazuki Munakata, Shoichiro Fujiwara, Susumu Tokumoto, Tadahiro Uehara:
Test Case Selection Based on Path Condtions of Symbolic Execution. APSEC 2012: 318-321 - 2011
- [j1]Shoichiro Fujiwara, Kazuki Munakata, Yoshiharu Maeda, Asako Katayama, Tadahiro Uehara:
Test data generation for web application using a UML class diagram with OCL constraints. Innov. Syst. Softw. Eng. 7(4): 275-282 (2011)
Coauthor Index
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