Abstract: It is often difficult to discern the differences between programming and modeling languages. As an example, the term "domain-specific language" has been used almost interchangeably in academia and industry to represent both programming and modeling languages, which has caused subtle misconceptions. The borders between a modeling and programming language are somewhat vague and not defined crisply. This paper discusses the similarities and differences between modeling and programming languages, and offers some suggestions on how to better differentiate such languages. A list of criteria is presented for language classification, but it is suggested that a set of the criteria be used, rather than a single criterion. Several example domain-specific languages are used as case studies to motivate the discussion.Keywords: domain-specific languages, programming languages, modeling languagePublished in DKUM: 31.05.2012; Views: 1868; Downloads: 45 Link to full text
Abstract: Despite the increasing interest in model-driven engineering, there are many open issues that need to be addressed to advance the technology and promote its adoption. This position paper outlines several current limitations of model transformation, with a specific emphasis on model optimization. A primary shortcoming that can be found in many model transformation approaches and tools is the lack of formal semantics to define the meaning of a modeling abstraction. This inadequacy is the source of many problems surrounding the practice of model engineering.Keywords: domain-specific languages, program transformation, model transformation, model-driven engineering, modeling languagePublished in DKUM: 31.05.2012; Views: 2177; Downloads: 41 Link to full text
