A MACHINE LEARNING BASED DEVICE FOR AUTOMATION OF TESTING OF SOFTWARE DEVELOPMENT

The present invention relates to a machine learning based device for automation of testing of software development. The proposed invention belonging to the field of
software development and validation. The device autonomously generates and executes test scenarios by analyzing source code, runtime behaviors, and historical test
data through a hybrid convolutional and recurrent neural network. It comprises an Input Processing Unit, Data Analysis Module, Machine Learning Core, Test Case
Generator, Test Execution Engine, Feedback Loop Module, and Control Unit, interconnected to ensure seamless operation. The technical advancement lies in its
dynamic adaptation to software changes, comprehensive test coverage, and reduced manual intervention compared to static analysis-based prior art. The principal use is
to enhance the efficiency and accuracy of software testing in agile development environments. Figure 1 illustrates the device’s schematic structure (101-107)