MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641097134 A) filed by Guru Nanak Educational Society on August 11, 2026, for System And Method For Automated Source Code Quality Analysis Using Artificial Intelligence.
Inventors include Dr. S. Nirmala Devi; Dr. P. Rajasundaram; Mrs. G. Vijayalakshmi Balaji; and Mrs. Gitanjali Sachdeva.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to a system and method for automated source code quality analysis using artificial intelligence. The invention comprises a source code acquisition module, a preprocessing and normalization module, a lexical and syntax analysis module, a semantic analysis engine, a feature extraction engine, an artificial intelligence inference engine, an explainable artificial intelligence module, and a software quality reporting module. The system automatically analyzes source code to identify software defects, security vulnerabilities, coding standard violations, code smells, technical debt, maintainability issues, and performance bottlenecks. Artificial intelligence models process extracted software quality features to generate predictive quality scores, defect classifications, and optimization recommendations. The explainable artificial intelligence module provides confidence scores, defect localization, and interpretable reasoning for each prediction. The invention supports integration with Integrated Development Environments, version control repositories, and Continuous Integration/Continuous Deployment pipelines, thereby enabling real-time software quality assessment, reducing development effort, improving software reliability, enhancing cybersecurity, and supporting efficient software engineering practices
Disclaimer: Curated by HT Syndication.
