Software test case generation & test oracle design using neural network

White Box and Black Box testing are two major approaches to software testing where the former uses software source code and the latter uses software specification and focuses on testing functional requirements. In this paper, we aim to present an automated method in which a combination of White and Black Box testing is presented using Neural Networks. In order to testify the effectiveness of our proposed approach, experimental results obtained from applying our method to 6 benchmark case studies and as well as one real application from NIST SAMATE dataset are presented.