Princster

Automated software testing

Made by

About

Our software testing journey begins with a thorough system analysis utilizing Natural Language Processing (NLP) methods. We meticulously identify key features, scenarios, and user pathways to understand the application's behavior comprehensively. By analyzing past errors and issues with NLP, we create a robust testing plan that anticipates potential problems and ensures a seamless user experience.

Leveraging the power of artificial intelligence, we rapidly create and generate automated tests with enhanced accuracy and efficiency. Using machine learning techniques, we generate test scenarios that cover various application behaviors, reducing the time required for the testing process and minimizing human error. Our AI-supported automated testing ensures thorough coverage and reliable performance.

Our AI-driven reporting provides clear and actionable insights into the testing process. We identify behavioral patterns and anomalies that might go unnoticed with traditional methods. AI enables us to classify and prioritize detected errors, allowing us to focus on the most critical issues that could affect user experience. Our detailed reports help stakeholders make informed decisions, enhancing the overall quality of the application.

Partners

With the support of MPO

Project No. FX03030025 co-financed with the support of funds from the state budget through the Ministry of Industry and Trade in the program The Country for the Future - "Innovation in Practice"