Intellectual Property India Publishes Patent Application for 'An Explainable Machine-Learning-based System And Normalized Composite Metric For Early-Stage Software Fault Prediction' Filed by Panipat Institute Of Engineering And Technology

MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202611022891 A) filed by Panipat Institute Of Engineering And Technology, Samalkha, Haryana, on Feb. 26, for 'an explainable machine-learning-based system and normalized composite metric for early-stage software fault prediction.'

Inventor(s) include Dr. Gurmeet Kaur; Prof. Dinesh C. Verma; Dr. Manjot Kaur Sidhu; and Dr. Satyajee Srivastava.

The application for the patent was published on April 17, under issue no. 16/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to an explainable machine-learning-based system for early-stage software fault prediction that enables proactive assessment of ...