A modelling framework for automotive software design and optimal test path generation

Issue title: Special Section: Soft Computing and Intelligent Systems: Techniques and Applications

Guest editors: Sabu M. Thampi, El-Sayed M. El-Alfy, Sushmita Mitra and Ljiljana Trajkovic

Article type: Research Article

Authors: Kaur, Parampreet^{; *} | Sobti, Rajeev

Affiliations: School of Computer Science Engineering, Lovely Professional University, Jalandhar, Punjab, India

Correspondence: [*] Corresponding author. Parampreet Kaur, School of Computer Science Engineering, Lovely Professional University, Jalandhar, Punjab, India. E-mail: parampreet.18758@lpu.co.in.

Abstract: Automotive embedded applications are gaining widespread importance worldwide. Almost every car is equipped with hundreds of software-enabled technologies which are expected to have a drastic spike in the coming years ahead. With the advent of more and more automatic and autonomous techniques, there arises an extensive requirement of applying latest development and testing strategies. Apart from using single traditional V-Model, the design and test cases are generated based on more advanced double and triple V-models. The front panel of one of the autonomous car systems is designed and more refinement is obtained for optimum test path generation using prefix graph algorithm and edge-pair coverage criteria.

Keywords: Design model, automotive, double V-model, testing, edge-pair coverage criteria

DOI: 10.3233/JIFS-169466

Journal: Journal of Intelligent & Fuzzy Systems, vol. 34, no. 3, pp. 1731-1742, 2018