Recommender systems are information filtering systems used in many online applications
like music and video broadcasting and e-commerce platforms. They are also increasingly …

Recent research has shown feasibility of an interactive pair-programming conversational
agent, but implementing such an agent poses three challenges: a lack of benchmark …

The design of conceptually sound metamodels that embody proper semantics in relation to
the application domain is particularly tedious in model-driven engineering. As metamodels …

Abstract Model-driven engineering has been widely applied in software development,
aiming to facilitate the coordination among various stakeholders. Such a methodology …

Intelligent virtual model assistance is a key challenge in cultivating model-driven
engineering proliferation and growth. Such assistance will help improve the quality of …

Abstract Model-driven engineering (MDE) uses models as first-class artefacts during the
software development lifecycle. MDE often relies on domain-specific languages (DSLs) to …

Abstract Context Model Driven Software Engineering (MDSE) and low-code/no-code
software development tools promise to increase quality and productivity by modelling …

The demand for digital twins and suitable modeling techniques in the automotive industry is
increasing rapidly. Yet, there is no common understanding of digital twins in automotive, nor …

Abstract Model-driven technologies (MD*), considered beneficial through abstraction and
automation, have not enjoyed widespread adoption in the industry. In kee** with the …

Domain experts are increasingly employing machine learning to solve their domain-specific
problems. This article presents to software engineering researchers the six key challenges …