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

doi:10.1109/ICCW.2019.8757155

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

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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

Iaith wreiddiol	Saesneg
Teitl	2019 IEEE International Conference on Communications Workshops (ICC Workshops)
Man cyhoeddi	Shanghai, China, China
Cyhoeddwr	Institute of Electrical and Electronics Engineers
Tudalennau	1-6
Nifer y tudalennau	6
ISBN (Electronig)	978-1-7281-2373-8, 978-1-7281-2372-1
ISBN (Argraffiad)	978-1-7281-2374-5
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1109/ICCW.2019.8757155
Statws	Cyhoeddwyd - 24 Mai 2019

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10.1109/ICCW.2019.8757155

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@inproceedings{cedc1be371d347b0b54e6428ff4bda91,

title = "An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry",

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",

author = "Muhammad Awais and Ayesha Jadoon and Huq, {Kazi Mohammed Saidul} and Shahid Mumtaz and Jonathan Rodriguez",

year = "2019",

month = may,

day = "24",

doi = "10.1109/ICCW.2019.8757155",

language = "English",

isbn = "978-1-7281-2374-5",

pages = "1--6",

booktitle = "2019 IEEE International Conference on Communications Workshops (ICC Workshops)",

publisher = "Institute of Electrical and Electronics Engineers",

}

An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry. / Awais, Muhammad; Jadoon, Ayesha; Huq, Kazi Mohammed Saidul et al.

2019 IEEE International Conference on Communications Workshops (ICC Workshops). Shanghai, China, China : Institute of Electrical and Electronics Engineers, 2019. t. 1-6.

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion Cynhadledd › Cyfraniad i gynhadledd › adolygiad gan gymheiriaid

TY - GEN

T1 - An Overview of Resilient and Automatic Model-Based Testing Approaches for Automotive Industry

AU - Awais, Muhammad

AU - Jadoon, Ayesha

AU - Huq, Kazi Mohammed Saidul

AU - Mumtaz, Shahid

AU - Rodriguez, Jonathan

PY - 2019/5/24

Y1 - 2019/5/24

N2 - 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

AB - 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

U2 - 10.1109/ICCW.2019.8757155

DO - 10.1109/ICCW.2019.8757155

M3 - Conference contribution

SN - 978-1-7281-2374-5

SP - 1

EP - 6

BT - 2019 IEEE International Conference on Communications Workshops (ICC Workshops)

PB - Institute of Electrical and Electronics Engineers

CY - Shanghai, China, China

ER -

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

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