Tesla has emphasized that the integration of car networks has fundamentally transformed human life, enabling remote access and control of vehicles. However, this advancement also introduces greater complexity in system maintenance. New vulnerabilities can emerge at any time—not only during the product development cycle but also after the vehicle has left the factory. This ongoing challenge highlights the need for a more proactive approach to software security.
According to reports, traditional software development often takes a reactive stance, where testing for flaws occurs only after the software is completed. This method fails to meet modern functional standards such as ISO 26262, which emphasize safety and reliability from the start. In fact, the security of networked devices must be considered right from the early stages of development to prevent potential risks.
Beyond just writing code and testing it afterward, every phase of the development process—from design to implementation and testing—plays a critical role. This includes using tools like Unified Modeling Language (UML) for system design, following coding standards, conducting unit tests, and analyzing code coverage. These principles are applied throughout the entire lifecycle, with each stage being closely aligned and compared with the next. If any change is needed, automated two-way traceability ensures that the impact is detected automatically, followed by an immediate test analysis to identify and address any potential security issues.
When vulnerabilities are found in a networked device, a full-scale review becomes necessary. At this point, it's crucial to distinguish between essential measures and the functions that can be handled through automated testing. It's clear that the rise of connected systems has significantly changed the end of the R&D process, pushing for more integrated and continuous validation methods.
In other words, any new vulnerability discovered—even within the factory—must be addressed immediately. This is why automated requirements traceability is becoming increasingly important. It helps track all requirements throughout the product lifecycle, even after the product has been released, ensuring that every requirement aligns with operational and business goals. This shift underscores the evolving nature of software development in the age of automation and connectivity.
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