$Awesome GPTGenTest

We make automated browser testing a reality.We have built a Synthetic Natural Language test generator for testRigor.Utilizing a dynamic suite , capable of synthesizing of Test Cases.

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https://app.testrigor.com/public/NvG7E6LKk8uiixgny

Inspiration

After watching the attached video on youtube. Our team was inspired by the amazing capability of testRigor's Ai generated test tools for web and mobile interfaces. We looked at the testRigor technology and felt there was an opportunity to build a voice interface for their developer portal. We aim to make testRigor completely conversational where tests may be created and configured with only a microphone, thus opening test capability to team member who would otherwise not be capable of participating. Also a voice interface makes it possible for designers and product managers to take an active role in the developer heavy QA/Testing lifecycle of their poducts.

https://github.com/soltrinox/CloudX-testRigor/blob/main/MD-Files/TRAINING.COMMANDS.md

What it does

GPTGenTest is designed to build a dataset for a custom LLM model . From this dataset we will synthesize tens of thousands of conversational dialogs from which a natural language voice based interface may be derived.

How we built it

We cloned the testRigor examples and manually transformed the documented commands into a series of dynamic templates in Node.js. The templates we created offer a foundation necessary to generate unlimited synthetic data sets. We used a number of data conversion tools, but mainly it was written in VS Code. We used our experience in conversational Ai and voice application in order to generate classified patterns specific to UX/UI Web Browser test automation.

Challenges we ran into

Extracting the patterns from the documentation web site.

Accomplishments that we're proud of

Integrating a number of additional patterns and commands, while also exploring the testRigor SDK a number of class optimizations and config ENUMERATIONS became evident.

What we learned

The syntax and flexibility of the testRigor script language as well as explored mechanisms to automate the test Case project work spaces for a developer account.

What's next for GPTGenTest

Launching the open source testRigor voice LLM.

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Updates

posted an update —

Inspiration

After watching the attached video on youtube. Our team was inspired by the amazing capability of testRigor's Ai generated test tools for web and mobile interfaces. We looked at the testRigor technology and felt there was an opportunity to build a voice interface for their developer portal. We aim to make testRigor completely conversational where tests may be created and configured with only a microphone, thus opening test capability to team member who would otherwise not be capable of participating. Also a voice interface makes it possible for designers and product managers to take an active role in the developer heavy QA/Testing lifecycle of their poducts.

https://github.com/soltrinox/CloudX-testRigor/blob/main/MD-Files/TRAINING.COMMANDS.md

What it does

GPTGenTest is designed to build a dataset for a custom LLM model . From this dataset we will synthesize tens of thousands of conversational dialogs from which a natural language voice based interface may be derived.

How we built it

We cloned the testRigor examples and manually transformed the documented commands into a series of dynamic templates in Node.js. The templates we created offer a foundation necessary to generate unlimited synthetic data sets. We used a number of data conversion tools, but mainly it was written in VS Code. We used our experience in conversational Ai and voice application in order to generate classified patterns specific to UX/UI Web Browser test automation.

Challenges we ran into

Extracting the patterns from the documentation web site.

Accomplishments that we're proud of

Integrating a number of additional patterns and commands, while also exploring the testRigor SDK a number of class optimizations and config ENUMERATIONS became evident.

What we learned

The syntax and flexibility of the testRigor script language as well as explored mechanisms to automate the test Case project work spaces for a developer account.

What's next for GPTGenTest

Launching the open source testRigor voice LLM.

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