Hnin Thandar Tun

According to our database, Hnin Thandar Tun authored at least 12 papers between 2016 and 2024.

Collaborative distances:

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

2024

Integrated multi-view modeling for reliable machine learning-intensive software engineering.

Jati H. Husen, Hironori Washizaki, Jomphon Runpakprakun, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi

Softw. Qual. J., September, 2024

Enterprise architecture-based metamodel for machine learning projects and its management.

Hironori Takeuchi, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka

Future Gener. Comput. Syst., 2024

Evaluation of The Generality of Multi-view Modeling Framework for ML Systems.

Jati H. Husen, Jomphon Runpakprakun, Sun Chang, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa

Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023

Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems.

Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Hnin Thandar Tun, Yoshiaki Fukazawa, Hironori Takeuchi

Proceedings of the 11th International Conference on Model-Based Software and Systems Engineering, 2023

Enterprise Architecture-based Metamodel for a Holistic Business - IT Alignment View on Machine Learning Projects.

Hironori Takeuchi, Jati H. Husen, Hnin Thandar Tun, Hironori Washizaki, Nobukazu Yoshioka

Proceedings of the IEEE International Conference on e-Business Engineering, 2023

Extensible Modeling Framework for Reliable Machine Learning System Analysis.

Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi, Hiroshi Tanaka, Kazuki Munakata

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

2022

Modeling tool for managing canvas-based models traceability in ML system development.

Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa

Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, 2022

Traceable business-to-safety analysis framework for safety-critical machine learning systems.

Jati H. Husen, Hironori Washizaki, Hnin Thandar Tun, Nobukazu Yoshioka, Yoshiaki Fukazawa, Hironori Takeuchi

Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021

Goal-Oriented Machine Learning-Based Component Development Process.

Jati H. Husen, Hnin Thandar Tun, Nobukazu Yoshioka, Hironori Washizaki, Yoshiaki Fukazawa

Proceedings of the ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, 2021

Landscape of Requirements Engineering for Machine Learning-based AI Systems.

Nobukazu Yoshioka, Jati H. Husen, Hnin Thandar Tun, Zhenxiang Chen, Hironori Washizaki, Yoshiaki Fukazawa

Proceedings of the 28th Asia-Pacific Software Engineering Conference Workshops, 2021

Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems.

Hnin Thandar Tun, Jati H. Husen, Nobukazu Yoshioka, Hironori Washizaki, Yoshiaki Fukazawa

Proceedings of the 28th Asia-Pacific Software Engineering Conference Workshops, 2021

2016

Business goals monitoring and control measures in CMMI.

Hnin Thandar Tun, Tetsuro Katayama, Kunihito Yamamori, Khine Khine Oo

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016