DecSup: An Architecture Description Language for Decision Support Systems

To download the modeling toolset, you need to firstly downnload and install Metaedit+ [2]. Then, create a new repository in which the DSL models will be stored and create project inside the repository by using the Metaedit+ user interfaces. Upon creating an empty project, use the Metaedit+ "import" feature to import the metamodel file (.mxt) for the DecSup language. Once you import the meta-model file in Metaedit+, you will have the modeling editor accessible over the Metaedit+ user interfaces for specifying the decision support system architectures using the DecSup language syntax and semantics. 

If you wish to have a look at our case study based on the article published by National Institutes of Health (NIH) - i.e., part of the U.S. Department of Health and Human Services [5], you are expected to import the model file (.mxm) after importing the metamodel file.

V1-> metamodel file (.mxt) and model file (.mxm)

In V1, we have the initial version of the meta-model and its language. The tool here enables for editing models and simulating the models using Modelica.

V2-> metamodel file (.mxt) and model file (.mxm)

In V2, we have a more robust version of the metamodel which has been improved after careful considerations of different scenarios. Moreover, the tool support herein is further extended with a Java Code Generator, which produces an executable Java code from the DecSup specifications. The code is produced in accordance with the Observer Design Pattern and thus easy to manage and integrate in different systems.  We also produced a GUI code that can be used to input the problem data and observe the diagnosis detected and the corresponding actions taken.

Note: Please send us an e-mail if you would like to try our modeling language and its toolset.

[5] https://newsinhealth.nih.gov/2022/01/it-flu-covid-19-allergies-or-cold