Curiosity's platform leverages the power of generative AI to redefine model-based testing, and test data management, offering innovative integration points that significantly enhance the software testing process.
1. Co-pilot is an AI-assisted component within Modeller, which aids in creating and reviewing models. This smart assistant can interpret the content of the model, convert it into user stories, and is even equipped to query the model's contents. This intelligent integration point enhances the model-building process, ensuring accuracy and efficiency.
2. ModelGPT is another integration point that uses AI to convert text-based requirements directly into models. This automates a traditionally manual process, resulting in a significant boost in efficiency, while also reducing the potential for human error.
In this tutorial, you’ll see how to quickly convert imported requirements documents into visual models. This will help you improve requirements understanding, enhance collaboration and generate covered test cases.
Step-by-step guide:
To get started, prepare a requirements document. Once ready, open the Curiosity platform, and navigate to the Explorer section.
In the top right corner, you’ll find the import (down arrow) button, press it, and then select “more”.
.png)
This will open the Model Importers wizard. Here, select “ModelGPT - Model AI (Document) as the Import Option.
.png)
Select your document and then click next. This will open the next window. This window contains a Model Plan created from your document.
After reviewing the model plan, click next.
.png)
.png)
This will then generate all of your models.
.png)