Tesla(US:TSLA) Zhong Guo Qi Che Bao Wang·2025-09-22 09:18Core Viewpoint - The automotive industry is facing significant challenges due to software faults as vehicles transition to "software-defined" systems, necessitating clear boundaries for intelligent driving functions and safety measures to prevent exaggerated claims [2][3][4]. Group 1: Software Challenges and Industry Response - The complexity of automotive software has increased dramatically, with code volumes exceeding 1 billion lines, far surpassing traditional systems like Windows 10, leading to higher risks of system failures and security breaches [2]. - Software faults have become a major concern, with consumer complaints about issues such as malfunctioning intelligent assistance systems and software failures in electric vehicles [4]. - The industry consensus is to adopt modular architectures to reduce coupling and integrate safety design throughout the development process, which is essential for addressing software faults [5][6]. Group 2: Talent Development and Organizational Structure - There is a growing demand for professionals skilled in automotive software, emphasizing the need for a new talent cultivation model that combines automotive engineering with software expertise [7][8]. - Companies are transitioning to agile organizational structures to enhance responsiveness and improve user feedback handling, which is crucial for rapid software development [10]. Group 3: Ecosystem and Collaboration - Establishing an open-source community is vital for collaborative innovation in automotive software, which can reduce development costs and accelerate technology iteration [11]. - The creation of an industry-level software vulnerability database for real-time information sharing is essential for enhancing software security and reducing faults [12]. Group 4: Future Directions and Technological Evolution - The shift towards centralized computing platforms in vehicles is expected to transform automotive software architecture, allowing for easier updates and improved communication between software modules [14]. - The integration of advanced AI technologies is anticipated to enhance software reliability and enable self-repair capabilities, marking a significant evolution in automotive software systems [15][16].