MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123670 A) filed by Vellore Institute Of Technology on October 15, 2026, for A System And Method For Digital Twin-Based Adaptive Software Quality Assessment And Degradation Prediction.
Inventors include D. Sumathi; Praveen Kumar V; and Naveen Kumar K.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The present disclosure proposes a system (100) and method for context-adaptive software-quality assessment and degradation prediction using runtime telemetry, synchronized Digital Twin states, operating-context information, historical behavioral information, and Twin Synchronization Confidence for IoT edge systems. The system (100) comprises an IoT edge device (102), a Digital Twin (116), a Metric Evolution Memory (118), and a processing system (120). The processing system (120) determines baseline software-quality metrics, synchronizes time-stamped runtime telemetry with the Digital Twin (116), determines Twin Synchronization Confidence and context drift, and generates context-adaptive software-quality metrics. Counterfactual Digital Twin states are generated to determine predicted degradation and degradation risk. Telemetry acquisition frequency is controlled according to context drift, Twin Synchronization Confidence, and degradation risk. Prediction feedback updates the Digital Twin (116), Metric Evolution Memory (118), or a metric-evolution parameter based on prediction error.
Disclaimer: Curated by HT Syndication.
