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is a customizable decision support software solution that combines optimization, machine learning and artificial intelligence techniques to drive operational efficiency.
It is compatible with all current major operating systems, relying on renowned development tools. For more details, refer to Chapter Meeting the Requirements.
It allows developers to produce customized and scalable decision support applications from a data model that represents the structure of the project at hand. For more details, refer to Chapter Defining the Data Model.
Once the model is defined, the application structure can be scaffolded, i.e. generated, before further customization. This only needs to be performed once as the new scaffolded model can be edited later on. For more details, refer to Chapter Generating the Application Structure.
During the application scaffolding, configuration files are generated to interact with DOC
development tools. For more details, refer to Chapter Using the Repositories.
After adjusting DOC
configuration, the application itself can be customized and tested as many times as needed. For more details, refer to Chapter Building and Running the Application.
Whether during development or in production, i.e. when the application is deployed, data is processed by the application in the form of "scenario" files. For more details, refer to Chapter Managing the Application Data.
When the application satisfies all the project requirements, it can be deployed on as many devices as needed. For more details, refer to Chapter Deploying the Application.
Measures can be taken to mitigate problems that could arise at different stages of the project. For more details, refer to Chapter Troubleshooting the Application.
This Part contains detailed information on the application development workflow. Note that:
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