Coforge’s Cognitive QE Framework is an AI-enabled intelligent testing framework that enables smarter decision making, faster validation & automatic adoption of test suites & coverage, impact and risk decision models. An agnostic platform that allows engineers to improve decision making by providing real time Predictive, Descriptive, and Prescriptive software quality metrics. Its’ reporting and dashboard capabilities provide a single view for quality to get real-time intelligence and data to govern application quality and insights to ensure faster decision making. Specific features of the framework include
Predictive:
- Effective Test planning
- Defect Prediction
- Testcases Design Prediction
- Near real-time Insight
Descriptive
- Single view of end-to-end quality
- Metrics Reporting
- Business KPI's and Operational KPI’s
- Throughput Measurement
- Drill down capabilities to granular level
Prescriptive
- Enable decision making on factual data
- Test Case Selection & Prioritization
- What To Test Analysis
- What to Automate - Focused test automation aligned with actual test execution pattern
- Salient features:
- Integrates data from multiple sources
- Dashboards over the Internet/Multiple Channels
- Project Health Indicators Prescriptive
- Release and Test Execution Analysis
- Integration with Cognitive Services
- Predictive QE Dashboards
- Provides Analysis and recommendations using AI algorithms
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