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ORCIDJati H. Husen
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2020 – today
- 2024
[j2]Hironori Takeuchi
, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka:
Enterprise architecture-based metamodel for machine learning projects and its management. Future Gener. Comput. Syst. 161: 135-145 (2024)- [j1]Jati H. Husen, Hironori Washizaki, Jomphon Runpakprakun, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi:
Integrated multi-view modeling for reliable machine learning-intensive software engineering. Softw. Qual. J. 32(3): 1239-1285 (2024) - [c13]Jati H. Husen, Jomphon Runpakprakun, Sun Chang, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa:
Evaluation of The Generality of Multi-view Modeling Framework for ML Systems. CAIN 2024: 284-285 - [c12]Takumi Ayukawa, Jati H. Husen, Nobukazu Yoshioka, Hironori Washizaki, Naoyasu Ubayashi:
Toward Pattern-Oriented Machine Learning Reliability Argumentation. ISSRE (Workshops) 2024: 121-122 - [i1]Haowei Cheng, Jati H. Husen, Sien Reeve Ordonez Peralta, Bowen Jiang, Nobukazu Yoshioka, Naoyasu Ubayashi, Hironori Washizaki:
Generative AI for Requirements Engineering: A Systematic Literature Review. CoRR abs/2409.06741 (2024) - 2023
- [c11]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 - [c10]Mira Kania Sabariah, Veronikha Effendy, Jati H. Husen, Daffa Hilmy Fadhlurrohman, Rony Setyawansyah:
Experiences With Gap-Bridging Software Engineering Industry-Academia Collaborative Education Program. CSEE&T 2023: 168-172 - [c9]Jomphon Runpakprakun, Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa:
Towards Integrated Model-Based Machine Learning Experimentation Framework. DSA 2023: 593-594 - [c8]Hironori Takeuchi, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka:
Enterprise Architecture-based Metamodel for a Holistic Business - IT Alignment View on Machine Learning Projects. ICEBE 2023: 8-15 - [c7]Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi:
Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems. MODELSWARD 2023: 194-201 - 2022
- [c6]Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi:
Traceable business-to-safety analysis framework for safety-critical machine learning systems. CAIN 2022: 50-51 - [c5]Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa:
Modeling tool for managing canvas-based models traceability in ML system development. MoDELS (Companion) 2022: 77-78 - 2021
- [c4]Nobukazu Yoshioka, Jati H. Husen, Hnin Thandar Tun, Zhenxiang Chen, Hironori Washizaki, Yoshiaki Fukazawa:
Landscape of Requirements Engineering for Machine Learning-based AI Systems. APSEC Workshops 2021: 5-8 - [c3]Hnin Thandar Tun, Jati H. Husen, Nobukazu Yoshioka, Hironori Washizaki, Yoshiaki Fukazawa:
Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems. APSEC Workshops 2021: 13-16 - [c2]Jati H. Husen, Hnin Thandar Tun, Nobukazu Yoshioka, Hironori Washizaki, Yoshiaki Fukazawa:
Goal-Oriented Machine Learning-Based Component Development Process. MoDELS (Companion) 2021: 643-644
2010 – 2019
- 2018
- [c1]Jati H. Husen, Hironori Washizaki, Yoshiaki Fukazawa:
Improving GQM+Strategies with Balanced Scorecard's Perspectives: A Feasibility Study. TENCON 2018: 1647-1652
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