Artificial Intelligence for testing the Quality of Your enterprise applications
While leveraging AI for testing apps for quality, enterprises may face multiple challenges such as identifying the exact use cases, lack of awareness about what really needs to be done, verifying the app behavior based on the data that has been input, testing apps for functionality, performance, scalability, security, & more.
Qa programmer extensive experience in the use of AI, ML, & analytics helps enterprises improve their automation frameworks & QA practices. Qa programmer incorporates AI/ML elements within your existing overall QA framework through implementation of IP such as:
- Impact Analyzer: Solution for test suite impact analysis during Change Requests, Patches, & upgrades
- BlueSwan Verita™: Analytics-driven workload modelling for defect prediction, response time, & scalability prediction
- AI-driven model-based testing tool: Automated generation of software testing procedures, using models of system requirements that leverage patented algorithm to generate intelligent test scenarios
- Sentiment Analyzer: Tool to find, categorize, and distribute the overall sentiment of a conversation (Positive, Negative, Neutral) for better decision making