Tx-GPT is an AI-Powered test case generation accelerator developed by Tx Automation Center of Excellence (ACoE). This innovative solution leverages the power of advanced AI models such as GPT, Llama, and Claude to automate the generation of manual test cases, test data, and feature files directly from user stories in ALM tools like Azure Test Plans.
By harnessing this cutting-edge technology, this innovative solution eliminates repetitive manual efforts, enhances test coverage, and ensures your testing aligns perfectly with business objectives. For enterprises looking forward to transforming their testing, Tx-GPT is the solution.
Benefits to the Business
Get In Touch- Faster Test Case Generation
- Enhanced Data Security
- Error-Free Integration
- Accelerated SDLC
- Standardized QA
Speak to an expert
In your line of work, we know every minute matters.
- Tx-GPT uses Natural Language Processing (NLP) to analyze user stories and functional requirements.
- It automatically generates test cases with input data, expected outcomes, and execution steps.
- By generating test cases, it ensures comprehensive coverage.
- It synthesizes requirements and enhances test efficiency and accuracy.
Tx-GPT Features
Tx-GPT offers a powerful suite of features to support your entire testing lifecycle. Whether you’re uploading files for analysis, generating insights, or validating new features, Tx-GPT adapts to your specific testing needs.
By automating the conversion of user stories into testable requirements, Tx-GPT reduces errors, improves consistency, and helps you deliver a more robust software product with ease.
Tx-GPT leverages advanced AI to predict potential defects early, enabling proactive resolution and ensuring high-quality software releases.
Tx-GPT: Capabilities
Test Case Generation – Online & Offline
This tool automates the process of creating manual test cases to ensure comprehensive test coverage by leveraging the knowledge of Online and Offline models.
Q&A – Online & Offline
This application is capable of reading local documents such as text, pdf, ppt, doc, images. This functionality is powered by private models and local knowledge bases for secure and personalized responses.
Test Data Generation
The future scope is to automate creating different types of test data to make testing more efficient. This will support more robust testing scenarios, reducing manual effort and enhancing test coverage.
Advanced QA Automation
The goal is to incorporate advanced automation techniques in the future to streamline testing processes. It will use advanced automation methods later to improve testing speed and accuracy.
