Non-human Modelers: Challenges and Roadmap for Reusable Self-explanation

Abstract

Increasingly, software acts as a "non-human modeler" (NHM), managing a model according to high-level goals rather than a predefined script. To foster adoption, we argue that we should treat these NHMs as members of the development team. In our GrandMDE talk, we discussed the importance of three areas: effective communication (selfexplanation and problem-oriented configuration), selection, and process integration. In this extended version of the talk, we will expand on the self-explanation area, describing its background in more depth and outlining a research roadmap based on a basic case study.

Grand challenges in model-driven engineering: an analysis of the state of the research

“…Several AI techniques could be used to cognify model-driven techniques [18] and to improve the autonomy of MDE tools (e.g., smart model autocompletion). Indeed, more and more MDE tools need to collaborate and agree on how to manage and evolve (runtime) models according to a shared set of goals [25]. Self-explanation capabilities will be critical in this scenario.…”