An argument for more user-centric analysis of modeling languages’ visual notation quality

Abstract

In this position paper we argue against the application of universal quality criteria for the visual notation of modeling languages. Instead, we make a point that (1) the cognitive capabilities that modelers have, and (2) the different cognitive requirements placed on them while modeling specific aspects (e.g., processes, goals, regulations) mean that a visual notation should be optimal for a specific modeling effort, and not a best-for-everyone solution. We clarify this point by giving an example of a modeling effort where this comes into play, and propose a research agenda that can set out to deal with these issues.