Machine learning-based incremental learning in interactive domain modelling

Author:

Saini Rijul1,Mussbacher Gunter1,Guo Jin L. C.1,Kienzle Jörg1

Affiliation:

1. McGill University, Montréal, QC, Canada

Publisher

ACM

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Domain Modeling with Large Language Models: A Comparative Study;2023 ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS);2023-10-01

2. DoME: An Architecture for Domain Model Evolution at Runtime Using NLP;Proceedings of the XXXVII Brazilian Symposium on Software Engineering;2023-09-25

3. Incrementally Mining Column Constant Biclusters with FVSFP Tree;Applied Sciences;2023-05-25

4. Automated, traceable, and interactive domain modelling;Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings;2022-10-23

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