MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079307 A) filed by Pragati Engineering College on June 27, 2026, for A System And Method For Ai-Assisted Software Development, Testing, And Automated Code Optimization.
Inventors include Dr. A. Radha Krishna; Mrs. V. Anantha Lakshmi; Pandiri Sravya; Kothem Kanaka Mahalakshmi; and Anisetti Varshitha.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: ABSTRACT A System and Method for AI-Assisted Software Development, Testing, and Automated Code Optimization The present disclosure relates to a system and method for AI-assisted software development, autonomous testing, runtime-aware verification and self-evolving code optimization. Given software requirements, functional specifications, security policies, performance objectives, and operational constraints, the system translates the received information into architecture-aware execution models using an intent-to- architecture intelligence framework. An AI code generation engine creates executable software artifacts. A software knowledge graph defines semantic relations between software components, dependencies, testing artifacts, and deployment resources. A runtime prediction engine predicts software behavior, resource utilization patterns, execution bottlenecks, and failure probabilities ahead of deployment. The system also performs adaptive test generation, causal defect localization, security mutation based resilience assessment, quantum inspired software optimization and software genetic evolution to identify optimized software implementations. Self-healing deployment intelligence framework that continuously monitors deployed software and detects anomalies, validates corrective actions and deploys the remediation updates autonomously. With continuous learning and predictive software engineering intelligence across the lifecycle it enhances software reliability, cyber security resilience, execution efficiency, deployment readiness and software optimization
Disclaimer: Curated by HT Syndication.
