Navigating Safety and Quality in AI Automotive Development
The 2025 Report on Automotive Development Trends
Perforce Software has published a significant study detailing the automotive development landscape as it continues to transform under the influence of advanced technologies like artificial intelligence. In this survey of 650 automotive development professionals, key trends have emerged that highlight the crucial focus on code quality and compliance for building safe and secure autonomous vehicles.
Safety at the Forefront of AI Vehicle Development
According to the findings, safety remains the top priority for 49% of automotive professionals involved in AI vehicle development. As the complexity of algorithms in AI systems tends to be non-deterministic, teams committed to functional safety standards must adopt additional strategies to ensure safety is upheld. This shift emphasizes the relationship between software quality and safety enhancements in vehicles today.
Importance of Functional Safety Standards
Jill Britton, the Director of Compliance at Perforce, shared that while automotive software increasingly relies on AI technology, the development process must prioritize safety at every stage. "AI systems introduce new challenges to achieving functional safety and to address this, new and updated standards are being developed for their application in safety-critical scenarios," she stated.
AI Influence on Vehicle Design
The report indicates that 42% of automotive professionals acknowledge that AI is significantly impacting autonomous vehicle design, representing a 9% increase from the previous year. AI also influences various components of connected vehicles, including Advanced Driver Assistance Systems (ADAS) and In-Vehicle Infotainment systems. Interestingly, while security concerns were previously growing, safety has regained prominence as the focus of AI/ML developments in 2025.
Challenges in Code Quality
The complexity of codebases presents barriers in producing high-quality software. Notably, 57% of respondents with less than a year of experience and 45% of those with one to three years face code complexity as their primary challenge. In comparison, only 37% of experienced engineers with over five years reported testing resources as their leading concern, indicating a gap in support for less experienced developers.
Maximizing Resources for Quality Improvement
With many organizations striving to navigate market challenges, emphasis has shifted towards maximizing existing resources and nurturing talent. The survey highlighted that 49% of professionals prioritize optimizing resources, while 42% are dedicated to education and training of their teams.
Utilizing Modern Development Tools
To tackle the intricacies of software development, automotive engineers are increasingly relying on static analysis tools to ensure compliance with industry standards like MISRA and ISO 21434. The report reveals that 30% of teams strategically focus on software quality improvements by leveraging static analysis, version control, and continuous testing methodologies.
Key Findings from the Report
Several striking discoveries surfaced from the research:
- A remarkable 86% utilize at least one coding standard, a vital component for upholding code quality.
- 53% actively employ static analysis/SAST tools, with 30% stating improved software quality as the main goal.
- An impressive 89% are mandated to track code quality metrics to minimize errors, showing a significant 12% increase.
- Development around electric vehicle software is stabilizing, with 47% of developers deeply involved in EV systems.
- AI-driven development methodologies are on the rise, with 71% adopting standards such as ISO/DPAS 8800 to ensure functional safety in AI environments.
The Need for Compliance and Adaptation
As automotive regulations evolve, demonstrating adherence to functional safety and security standards becomes increasingly vital. The anticipated release of MISRA C:2025 is projected to influence 53% of developers in the automotive sector, underscoring the growing demand for robust tools aimed at maintaining software quality and compliance.
Collaborative Research for Automotive Excellence
The annual study executed in collaboration with notable organizations delivers essential insights into the ongoing struggles within automotive software development. By addressing safety and compliance, it aims to advance the design of increasingly connected and autonomous vehicles.
Frequently Asked Questions
What is the main focus of the 2025 Automotive Report?
The report primarily emphasizes safety and code quality in the realm of AI vehicle development.
How many professionals were surveyed for the report?
A total of 650 automotive development professionals participated in this survey.
What percentage of respondents prioritized safety?
49% of the professionals surveyed identified safety as their main concern in AI vehicle development.
Which tools do developers primarily use to ensure code quality?
Developers often utilize static analysis tools and coding standards to manage code complexity and ensure quality.
How has the role of AI changed in automotive software development?
The role of AI is growing, impacting key vehicle components and raising the importance of safety standards in recent years.
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