Authors : Jherrod Thomas

Volume/Issue : Volume 10 - 2025, Issue 3 - March

Google Scholar : https://tinyurl.com/mtah2yra

DOI : https://doi.org/10.38124/ijisrt/25mar1762

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This research deciphersthe formulation and deployment of an innovative methodological framework by ‘The Lion of Functional Safety’ to accelerate ISO 26262 ASIL D certification within the dynamic automotive industry. As vehicles become more infused with complex electronic and software systems, the imperative of maintaining functional safety is heightened. This study adopts a holistic mixed-methods approach, melding quantitative data with qualitative evaluations, to ascertain the efficacy of incorporating cutting-edge digital tools, model-based testing methodologies, and automated verification mechanisms. The framework introduced significantly shortens the time-to market for critical safety components in automotive applications, evidencing a 40% reduction in the duration of compliance processes while maintaining safety integrity. The principal findings reveal substantial improvements in fault identification, enhanced system verification via automated techniques, and the employment of machine learning algorithmsfor preventive safety evaluations. Such technological advancements simplify the certification trajectory and strengthen the reliability of vehicle safety systems against possible failures. The research suggests that adopting such comprehensive and technologically sophisticated approaches significantly enhances the efficiency of meeting the rigorous demands of ISO 26262 ASIL D standards. Furthermore, it provides a substantial advantage to automotive manufacturers by refining the product development lifecycle and optimizing cost-effectiveness. These insights are critical for manufacturers striving to adhere to evolving safety regulations while expediting product introductions in a fiercely competitive market. Index Terms—ISO 26262, ASIL D, automotive safety, functional safety, model-based testing, automated verification, digital tools, machine learning, predictive safety.

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