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An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry

Khan , M. ; Jadoon, Ayesha ; Huq, K. ; Mumtaz, S.M. ; Rodriguez, J.

An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry, Proc ICC Wireless Communications, Shanghai, China, Vol. , pp. - , May, 2019.

Digital Object Identifier: 10.1109/ICCW.2019.8757155

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Abstract
The need for automatic model-based testing is increasing day by day as model-driven development is an emerging trend in the software industry, especially the automotive industry. Traditional software testing lacks the support of dynamic requirements for a highly consistent software systems, such as, for automotive industry. Automatic Model-based testing can provide significant help to produced platform independent model, design once and run anywhere approach. Automatic model-based testing not only increases the software quality, reduce complexity and improve productivity by reusing approach automatically for the automotive industry but also provide a cost-effective solution. This paper provides an overview in a manner of survey for different model-based testing approaches and tools that can help in building efficient and effective software for vehicular systems.