---
title: "Importing Conformiq Models"
slug: "importing-conformiq-models"
updated: 2024-09-27T14:50:23Z
published: 2024-09-27T14:50:23Z
canonical: "knowledge.curiositysoftware.ie/importing-conformiq-models"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://knowledge.curiositysoftware.ie/llms.txt
> Use this file to discover all available pages before exploring further.

# Importing Conformiq Models

In this article we'll cover Importing an existing Conformiq project into a new Quality Modeller model, allowing for Test Case and automation code generation, and test data specification.

[Video](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/conformiqIntegration.mp4)

### Tutorial

Firstly, navigate to a folder in the explorer screen in Quality Modeller. Then go to the import menu, and select 'More...'.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804062857.png)

In the import menu, select the Conformiq import option.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804165794.png)

Select a Conformiq project which has been archived in zip format then select the Import option.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804328102.png)

This will create a new job to perform the import where you can track the import process.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804448367.png)

Once complete you should see the model available in the explorer screen.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804476190.png)

Below you'll see the model created from our import, complete with sub-flow references.

![](https://cdn.document360.io/77f722a6-2d0a-49fa-8074-572515a6c4b8/Images/Documentation/image-1692804514806.png)

Test cases are equivalent to paths through the model of a system under test. They are generated automatically from a model, with or without test data and test automation associated with them. Test Modeller has coverage techniques using advanced algorithms to generate the smallest set of test cases needed to test given features with a required level of rigour.