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Exploration of INNSTA

Author(s): Ayush Kumar Yogi

Journal: International Journal of Engineering Trends and Technology
ISSN 2231-5381

Volume: 4;
Issue: 7;
Start page: 2941;
Date: 2013;
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Keywords: INNSTA | transfer function | perceptron | mathematical approach.

INNSTA (Idea of Neural Network for Software Testing Automation) has proposed already with its basic model structure, conceptual fundamental of model and mathematical formulation. Here I explore the model architecture, the transfer function and its updating criteria with the way to code backpropagation algorithm for INNSTA. Perceptron is used to create and analyze the simple network with the speciality by communicating functions, network initialization functions and simulation of such a defined network. Developers can use perceptron model to create such a network for software testing and then be implemented as software testing Automation tool. In this paper, INNSTA is explored in depth, from its design to mathematical approach. Neural network approach in software testing automation with INNSTA approach will provide developers a straight implementation way and users of such a tool will get efficient results comparing to other automation tool.

Tango Jona
Tangokurs Rapperswil-Jona

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