Modern embedded systems are becoming more software-dependent, leading to larger and more complex codebases that require thorough security and compliance checks to prevent potential harm.
Automotive IVI systems, like those using the Android Open Source Project platform with 50+ million lines of code, make manual code reviews impractical, emphasizing the need for automated tools for analysis.
Static analysis techniques have evolved to handle the challenges posed by the growing complexity of codebases, improving efficiency and speeding up the review process.
Dataflow analysis tools face performance challenges due to increasing codebase sizes, with the most efficient ones taking several hours to analyze large systems like Android.
Besides static analysis times, managing compliance data, especially for systems with no prior coding guidelines, presents a significant challenge that requires efficient storage and processing.
Customized variants in the automotive sector further complicate compliance management, necessitating a centralized database to streamline the tracking and reporting of millions of compliance findings across multiple versions.
Utilizing centralized management and reporting dashboards is crucial for handling vast amounts of compliance data efficiently and generating sensitive compliance reports based on development streams.
Implementing processes like baselining can help developers focus on new issues and avoid being overwhelmed by historical backlogs, ensuring visibility of security vulnerabilities and easier issue resolution.
By integrating compliance processes into developers' daily workflows and leveraging quality gates, early error detection and resolution can be achieved, resulting in improved code quality and reduced remediation costs.
Despite the continuous expansion of codebases in complexity and size, ongoing advancements in tools and techniques aim to keep pace with the evolving challenges of embedded software development.