QAI4ASE: Quantum Artificial Intelligence for Automotive Software Engineering
Nowadays, the dimension and complexity of the automotive development lifecycle increase the possibility of cyber-attacks. In this context, team developers play a primary role in managing cybersecurity, risk assessment, and, consequently security, in all phases of software applications (concept phases, product development, cybersecurity validation, production, operations, and maintenance). Currently, only generic standards exist that are difficult to put into operation due to the lack of the required skills and knowledge. Therefore, this paper presents a vision model based on Quantum Artificial Intelligence that supports developers’ decisions to integrate concrete design methods in the automotive development lifecycle. In the former organization need to develop their own vehicle development process complaint to the automotive standards and we propose the usage of existing data sources (e.g. existing taxonomies), for the development of general Quantum AI models that suggest which might be the correct way, or the correct steps, to use time by time to reach their solutions.
Fri 18 NovDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
23:20 - 00:10 | |||
23:20 10mPaper | Embracing Iterations in Quantum Software: A Vision QP4SE A: Arif Ali Khan University of Oulu, A: Mahdi Fahmideh University of Southern Queensland, A: Aakash_Ahmad , A: Muhammad Waseem Wuhan University, China, A: Mahmood Niazi King Fahd University of Petroleum and Minerals, A: Valtteri Lahtinen QUANSCIENT, A: Tommi Mikkonen University of Jyvaskyla | ||
23:30 10mPaper | QAI4ASE: Quantum Artificial Intelligence for Automotive Software Engineering QP4SE A: Mirko De Vincentiis University of Bari, Italy, A: Fabio Cassano University of Bari, Italy, A: Alessandro Pagano University of Bari, Italy, A: Antonio Piccinno University of Bari, Italy | ||
23:40 10mPaper | Quantum Computing for Software Engineering: Prospects QP4SE A: Andriy Miranskyy Toronto Metropolitan University (formerly Ryerson University), A: Mushahid Khan Ryerson University, Toronto, Canada, A: Jean Paul Latyr Faye CMC Microsystems, A: Udson C. Mendes CMC Microsystems Pre-print | ||
23:50 10mPaper | Quantum Optimization for Fast CAN bus Intrusion Detection QP4SE A: Danilo Caivano University of Bari, A: Mirko De Vincentiis University of Bari, Italy, A: Federica Nitti University of Bari, Italy, A: Anibrata Pal University of Bari, Italy | ||
00:00 10mPaper | Towards Quantum-Algorithms-as-a-Service QP4SE A: Manuel De Stefano Università di Salerno, A: Dario Di Nucci University of Salerno, A: Fabio Palomba University of Salerno, A: Davide Taibi Tampere University , A: Andrea De Lucia University of Salerno | ||