ITEM QT

Robust and Flexible Storage

The iQT storage format consists of sets of freely coupled XML files. The use of XML automatically results in an “open standard”, allowing users and other applications to make changes to the model outside of iQT. This flexibility opens the door for a wide range of application integration and ease of capturing data directly from the iQT project files. Of course, changes are tracked in the history of the repository. Individual modules are stored in the form of XML files. It is also possible to store external documentation, e.g. MS WordTM, PDF or CAD drawing files, in the same directory structure. These files are then considered part of the project.

Task Management

iQT can be configured to incorporate documentation, task management or other features that are available from third-party vendors. If a recognized change management program is in place at the company, iQT can be configured to interface with that program. This allows the company to take further advantage of the software tool investment they have already made.

Powerful, Proven and Configurable Quantification Engines

The iQT quantification engines have been developed, performance refined and used worldwide for many years. They are a solid foundation for accurate analysis results. Their implementation in iQT may reside locally on the user’s computer, or exist as a service on a network server anywhere in the world. More than one analysis engine can be used to solve a particular part of a model. Furthermore, users can specify engine settings for a particular model.

There are no dependencies between the engines. The various engines do not know of each other’s existence, or are even aware of the other model types. It is possible that more than one analysis engine is available to perform the analysis of a given module. Users can even add their own engines easily for any particular type of module.

Named Parameters

Named parameters can be used to efficiently make changes to multiple input parameters in a model. Named parameters can be used to quantify or otherwise assign values to input parameters in the model.

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