Modelling the Operational Semantics of Domain-Specific Modelling Languages

2008 ◽  
pp. 506-520 ◽  
Author(s):  
Guido Wachsmuth
Keyword(s):  
Operational Semantics ◽  
Modelling Languages ◽  
Domain Specific

A Software Cost Model to Assess Productivity Impact of a Model-Driven Technique in Developing Domain-Specific Design Tools

2011 ◽  
pp. 333-355
Author(s):  
Achilleas Achilleos ◽  
Nektarios Georgalas ◽  
Kun Yang ◽  
George A. Papadopoulos
Keyword(s):  
Cost Model ◽  
Design Tools ◽  
Specific Design ◽  
Software Cost ◽  
Model Driven ◽  
Modelling Languages ◽  
Domain Specific ◽  
Software Productivity ◽  
Code Generators ◽  
Software Services

Programming languages have evolved through the course of research from machine dependent to high-level “platform-independent” languages. This shift towards abstraction aims to reduce the effort and time required by developers to create software services. It is also a strong indicator of reduced development costs and a direct measure of a positive impact on software productivity. Current trends in software engineering attempt to raise further the abstraction level by introducing modelling languages as the key components of the development process. In particular, modelling languages support the design of software services in the form of domain models. These models become the main development artefacts, which are then transformed using code generators to the required implementation. The major predicament with model-driven techniques is the complexity imposed when manually developing the domain-specific design tools used to define models. Another issue is the difficulty faced in integrating these design tools with model validation tools and code generators. In this chapter a model-driven technique and its supporting model-driven environment are presented, both of which are imperative in automating the development of design tools and achieving tools integration to improve software productivity. A formal parametric model is also proposed that allows evaluating the productivity impact in generating and rapidly integrating design tools. The evaluation is performed on the basis of a prototype domain-specific design tool.

Semantic Tools to Support the Construction and Use of Concept-Based Learning Spaces

2010 ◽  
pp. 185-203
Author(s):  
Terence R. Smith ◽  
Marcia Lei Zeng
Keyword(s):  
Operational Semantics ◽  
Digital Learning ◽  
Scientific Concepts ◽  
Santa Barbara ◽  
Specific Domain ◽  
Digital Learning Environment ◽  
Domain Specific ◽  
Key Aspects ◽  
The University ◽  
Use Of Knowledge

We describe a digital learning environment (DLE) organized around sets of concepts that represent a specific domain of knowledge. A prototype DLE developed by the Alexandria Project currently supports teaching at the University of California at Santa Barbara. Its distinguishing strength is an underlying abstract model of key aspects of any concept and its relationship to other concepts. Similar models of concepts are evolving simultaneously in a variety of disciplines. Our strongly-structured model (SSM) of concepts is based on the viewpoint that scientific concepts and their interrelationships provide the most powerful level of granularity with which to support effective access and use of knowledge in DLEs. The SSM integrates a taxonomy (or thesaurus), metadata (or attribute-value pairs), domain-specific mark-up languages, and specific models for learning scientific concepts. It is focused on attributes of concepts that include objective representations, operational semantics, use, and interrelationships to other concepts. The DLE integrates various semantic tools facilitating the creation, merging, and use of heterogeneous learning materials from distributed sources, as well as their access in terms of our SSM of concepts by both instructors and students. Evidence indicates that undergraduate instructional activities are enhanced with the use of such integrated semantic tools.

scholarly journals Model-driven engineering with domain-specific meta-modelling languages

2013 ◽  
Vol 14 (1) ◽  
pp. 429-459 ◽  
Author(s):  
Juan de Lara ◽  
Esther Guerra ◽  
Jesús Sánchez Cuadrado
Keyword(s):  
Model Driven Engineering ◽  
Model Driven ◽  
Modelling Languages ◽  
Domain Specific

A framework for families of domain-specific modelling languages

2012 ◽  
Vol 13 (1) ◽  
pp. 109-132 ◽  
Author(s):  
Benjamin Braatz ◽  
Christoph Brandt
Keyword(s):  
Modelling Languages ◽  
Domain Specific

scholarly journals A Method for the Sustainable Documentation of Operations Processes in Parcel Distribution Centers

2018 ◽  
Vol 13 (1) ◽  
pp. 3222-3234
Author(s):  
Melanie Drägestein ◽  
Jürgen Jung ◽  
Andreas Gadatsch ◽  
Ilja Kogan
Keyword(s):  
Ad Hoc ◽  
Continuous Process ◽  
Process Models ◽  
Distribution Centers ◽  
Continuous Process Improvement ◽  
Modelling Languages ◽  
Domain Specific ◽  
Logistics Company ◽  
Complex Process ◽  
Operational Processes

There is often no common understanding on operational processes in logistics companies as they are not properly documented. Hence, people execute the same process differently and training is conducted by experienced operators on an ad-hoc basis. Furthermore, continuous process improvement is hampered as neither the ideal process nor current issues in as-is processes are visible. A major reason for the missing documentation is the complexity of existing business process modelling languages. Modelling experts are required for initially describing the processes and also for updating the models after process changes. Furthermore, operations people are usually not used to read complex process models in EPCs or BPMN diagrams. In order to overcome these limitations, a domain-specific modelling language which facilitates maintaining up-to-date process models has been designed with a large logistics company in Germany. The paper at hand briefly describes this language and illustrates the method on how to apply it in operations environments. 

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