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It is a modern trend to develop a CASE tool for system modeling with an ability to transform models defined in different notations and also to generate a program code. Such a system modeling tool tries to bridge the gap between the system specification and the software components. A tool called BrainTool has been developed for generation of the UML diagrams from the initial presentation of problem domain by the two-hemisphere model. The paper presents the main components of BrainTool and compares it to other system modeling tools.

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Nowadays, it is a modern trend to develop a CASE tool for system modelling with an ability to transform models defined in different notations and also to generate a program code. However development of such a tool often involves experimentation with transformation algorithms that may require changes to the source model structure. Since CASE tools are basically used to represent a model in diagram’s form, implementing experimental changes in a modelling tool can require additional effort. In order to solve this problem, authors propose a way of describing the two-hemisphere model using Domain Specific Language. This paper covers the language’s syntax as well as provides an example of the two-hemisphere model defined with its help.

Models are widely used not only in computer science field, but also in other fields. They are an effective way to show relevant information in a convenient way. Model-driven software development uses models and transformations as first-class citizens. That makes software development phases more related to each other, those links later help to make changes or modify software product more freely. At the moment there are a lot of methods and techniques to create those models and transform them into each other. Since 2004, authors have been developing the so called 2HMD approach to bridge the gap between problem domain and software components by using models and model transformation. The goal of this research is to compare different methods positioned for performing the same tasks as the 2HMD approach and to understand the state of the art in the area of model-driven software development.