Test Automation Framework using Soft Computing Techniques

Soft-computing helps in modeling and providing solution for real-world problems using various techniques like genetic algorithm, machine learning and artificial neural networks. This paper proposes the model to design test automation framework extending the traditional strategies like keyword-driven and page-object models. Test case generation and optimization problem is addressed. Representation of test cases is considered to be a challenge in various encoding schemes with respect to test case representation in soft computing techniques. An insight into test case representation and suitable soft computing algorithms applicable to test case generation is covered.