Smart Test Automation Reliability System (STARSS) by StaidLogic is the first-of-its-kind solution built for enterprises to enhance QA operations by providing a collection of tools that automate the QA process using Generative AI.
STARSS uses Generative AI to boost intelligence, save time, and streamline quality assurance. Enterprises can shift from reactive to proactive quality testing.
Integration with Jira, VersionOne, and Plane.so ensures the adoption of the QA process at an early stage in agile development/sprint planning. As AI technology continues to evolve, our solution empowers QA teams to predict potential failures before they occur, drive faster feedback loops, and ultimately deliver superior software experiences with confidence.
1. Data Ingestion and Understanding
The AI engine collects structured and unstructured data, including requirements, API specifications, and test history. NLP interprets intent to understand features as testers do.
2. Test Case Generation
After training, the AI engine drafts context-driven test cases with input data, expected outcomes, and boundary conditions. These cases evolve as the engine continues to learn and adapt.
3. Test Automation Script Creation
It generates executable scripts using frameworks such as Selenium. This reduces manual scripting and quickly expands test coverage for interfaces and APIs.
4. Automated Script Execution
Our tools can be integrated with your Pega-built software or web-based applications, and the scripts generated in the earlier stage can be executed to run the automation with minimal manual intervention.
Pega Application Automated Testing Solution by StaidLogic (PAATS)
Pega Application Automated Testing Solution (PAATS) by StaidLogic is part of the STARSS, which focuses on applications developed on the Pega platform and Pega frameworks. The PAATS testing framework can be deployed with minimal effort and can be quickly customized.
Key benefits
- Accelerated Testing Cycles
- Improved Test Coverage and Accuracy
- Cost and Resource Optimization
- Continuous Learning and Adaptability