MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073715 A) filed by Mrs. N. Durga Devi; and Dr. Tirimula Rao Benala on June 13, 2026, for System And Method For Feature Weight Optimization In Software Development Using Meta-Heuristic Machine Learning Algorithms.
Inventors include Mrs. N. Durga Devi; and Dr. Tirimula Rao Benala.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR FEATURE WEIGHT OPTIMIZATION IN SOFTWARE DEVELOPMENT USING META-HEURISTIC MACHINE LEARNING ALGORITHMS System users are increasingly interested in software correctness and efficiency checks prior to usage. Programmers in the twenty-first century are therefore making a conscious effort to create software that is more accurate, more efficient, and less prone to bugs. A software development model utilizing metaheuristic machine learning algorithms involves using metaheuristic optimization techniques to enhance various aspects of the software development lifecycle, such as optimizing machine learning models, hyperparameters, and even software architecture. This research proposes novel technique in feature weight model-based optimization in software development using meta heuristic machine learning model. Here the feature weight and feature selection is carried out for software model using support additive regression Laplacian score perceptron neural network. then the software model parameter optimization is carried out using ant binary swarm component encoder optimization model. the simulation analysis is carried out in terms of training accuracy, MAR (Mean absolute residual), Mean balanced relative error (MBRE), F-measure.
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