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

Muhammad Awais, Ayesha Jadoon, Kazi Mohammed Saidul Huq, Shahid Mumtaz, Jonathan Rodriguez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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
Original languageEnglish
Title of host publication 2019 IEEE International Conference on Communications Workshops (ICC Workshops)
Place of PublicationShanghai, China, China
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-7281-2373-8, 978-1-7281-2372-1
ISBN (Print)978-1-7281-2374-5
Publication statusPublished - 24 May 2019


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