What does a notation with clear semantics provide for a model?

Semantics refers to the meaning of the symbols and constructs within a notation. A notation with "clear semantics" ensures that each element has a precise, unambiguous, and formally defined meaning. This allows all stakeholders who read a model created with that notation to have a common understanding of what is being represented. This "unique, shared meaning" is fundamental for effective communication, analysis, and model-driven execution.

A. Correct sequencing - This is one aspect that clear semantics helps define (e.g., the meaning of a sequence flow), but it is not the complete picture.

B. A clear, simple diagram - Simplicity is a pragmatic quality of a diagram, whereas semantics is about meaning. A semantically clear model can still be complex.

D. A straightforward, logical depiction - This is a desired outcome of good modeling, but "unique, shared meaning" is the direct and precise definition of what clear semantics provides.

1. Object Management Group. (2015). Semantics of Business Vocabulary and Business Rules (SBVR) Version 1.3. OMG Document Number formal/2015-05-05, Section 7.1, p. 17. The introduction discusses the need for formal semantics to provide a basis for "shared meaning" and avoid ambiguity.

2. Harel, D., & Rumpe, B. (2004). Meaningful modeling: What's the semantics of "semantics"? Computer, 37(10), 64-72. https://doi.org/10.1109/MC.2004.172. This paper discusses the critical role of well-defined semantics in modeling languages to ensure a single, unambiguous interpretation.