MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641056940 A) filed by Packiyam K; Balasurya G; Dinu Vishruth N V; Jenish C; and Kathiresh A on May 05, 2026, for Issue Prediction.
Inventors include Packiyam K; Balasurya G; Dinu Vishruth N V; Jenish C; and Kathiresh A.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT OF THE INVENTION The Issue Prediction system is a software solution focused on improving deployment reliability by identifying potential errors before an application is released into production. In modern development environments, applications depend on multiple configuration files, third party libraries, and environment variables, which increases the risk of failures due to misconfigurations or incompatibilities. This system addresses these challenges by automatically examining project data to uncover issues such as dependency conflicts, incorrect settings, and missing variables at an early stage. By shifting error detection to the pre deployment phase, it helps reduce system downtime and improves overall development quality. The workflow begins when a project is uploaded in ZIP format, after which the system extracts and processes essential files required for validation. Static analysis is first applied to detect syntax errors, incomplete dependencies, and configuration inconsistencies. To extend beyond basic validation, the system performs dynamic analysis by executing deployment related operations inside Docker- based isolated environments. This allows accurate simulation of real deployment scenarios and enables detection of runtime issues such as build failures and execution conflicts. In addition, cross file validation ensures consistency across multiple configuration sources, helping identify hidden mismatches that might otherwise go unnoticed. A distinguishing aspect of the system is the integration of Al-powered analysis through Groq, which interprets complex error outputs and converts them into simplified, user-friendly explanations. This makes the tool accessible to both experienced developers and beginners by reducing the effort required to understand technical issues. The results are presented through an interactive interface that highlights detected problems along with their possible causes. By combining automated validation, containerized execution, and intelligent interpretation, the system enhances debugging efficiency, effort, and supports a more reliable and streamlined software deployment process. minimizes manual CD
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