Application of an Adaptive Domain-Specific Interface in a Decision-Support System for Planning Railroad Technical Services

P. 110–124.

Ulitin, B., Babkin, E., Babkina, T.

The use of intelligent systems with advanced AI algorithms is a key aspect of enterprise digitalization. The railway domain is not an exception. We argue, that the quality of any AI-based system greatly depends on the methods of computer-human interaction. We propose an approach to organize the interaction of the end user with the AI-based system through a domain-specific language with a specific feature – the language can continuously adapt to the new requirements of end users without the need to recreate the system as a whole. This allows not only to simplify the process of creating domain-specific interfaces, but also to make the process of making changes to the DSL and the corresponding AI-based system independent, but coordinated. Applicability of the approach is demonstrated using a real-life example of a resource allocation task in the railway transportation.

Keywords: evolution, domain-specific language, transformation, UML, Invariants, planning technical service, resource allocation problem, Decision-support system

In book

Model-Driven Organizational and Business Agility: Second International Workshop, MOBA 2022, Leuven, Belgium, June 6–7, 2022, Revised Selected Papers

Issue 457: Model-Driven Organizational and Business Agility. MOBA 2022. , Switzerland: Springer, 2022.