Jati H. Husen

Orcid: 0000-0002-0467-5844

According to our database1, Jati H. Husen authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Integrated multi-view modeling for reliable machine learning-intensive software engineering.
Softw. Qual. J., September, 2024

Enterprise architecture-based metamodel for machine learning projects and its management.
Future Gener. Comput. Syst., 2024

Generative AI for Requirements Engineering: A Systematic Literature Review.
CoRR, 2024

Toward Pattern-Oriented Machine Learning Reliability Argumentation.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Evaluation of The Generality of Multi-view Modeling Framework for ML Systems.
Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering, 2024

2023
Metamodel-Based Multi-View Modeling Framework for Machine Learning Systems.
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.
Proceedings of the IEEE International Conference on e-Business Engineering, 2023

Towards Integrated Model-Based Machine Learning Experimentation Framework.
Proceedings of the 10th International Conference on Dependable Systems and Their Applications, 2023

Experiences With Gap-Bridging Software Engineering Industry-Academia Collaborative Education Program.
Proceedings of the 35th International Conference on Software Engineering Education and Training, 2023

Extensible Modeling Framework for Reliable Machine Learning System Analysis.
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.
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.
Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI, 2022

2021
Goal-Oriented Machine Learning-Based Component Development Process.
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.
Proceedings of the 28th Asia-Pacific Software Engineering Conference Workshops, 2021

Goal-Centralized Metamodel Based Requirements Integration for Machine Learning Systems.
Proceedings of the 28th Asia-Pacific Software Engineering Conference Workshops, 2021

2018
Improving GQM+Strategies with Balanced Scorecard's Perspectives: A Feasibility Study.
Proceedings of the TENCON 2018, 2018


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