With a strong focus on AI algorithms for test suite optimization, defect analytics, customer sentiment analytics, scenario traceability, integrated requirements traceability matrix (RTM), rapid impact analysis, comprehensive documentation and log analytics, at Cigniti, we have established a 4-pronged AI-led testing approach that includes:
- Discover – Smart asset creation using data repositories including defects, tickets, logs etc. for analysis
- Learn – Identify relationships between test assets such as defects and software requirements for insights
- Sense – Predict occurrence of an incident, impact, and likelihood led by analytics and insights
- Respond – Respond to an incident, input the resolution and results for continuous learning