Jati H. Husen

According to our database, Jati H. Husen authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

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

Towards Integrated Model-Based Machine Learning Experimentation Framework.

Jomphon Runpakprakun, Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa

Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

Experiences With Gap-Bridging Software Engineering Industry-Academia Collaborative Education Program.

Mira Kania Sabariah, Veronikha Effendy, Jati H. Husen, Daffa Hilmy Fadhlurrohman, Rony Setyawansyah

Proceedings of the 35th International Conference on Software Engineering Education and Training, 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

2018

Improving GQM+Strategies with Balanced Scorecard's Perspectives: A Feasibility Study.

Jati H. Husen, Hironori Washizaki, Yoshiaki Fukazawa

Proceedings of the TENCON 2018, 2018