The recent developments in the research area highlight a significant shift towards modularity, verification, and efficiency in software and system design. A notable trend is the emphasis on creating modular compilers and operating systems that are not only efficient and secure but also adaptable to various hardware constraints and application requirements. This approach facilitates the development of software that is both maintainable and extensible, catering to the evolving needs of the industry. Furthermore, there is a growing recognition of the importance of formal verification in ensuring the reliability and security of software systems, particularly in critical applications. This is evident in the development of new programming languages and tools designed to simplify the verification process, thereby making it more accessible and practical for a wider range of applications. The integration of insights from the programming language community into emerging fields such as neural network verification also underscores the interdisciplinary nature of current research efforts, aiming to bridge gaps between theoretical advancements and practical implementations.

Noteworthy Papers

• Developing a Modular Compiler for a Subset of a C-like Language: Introduces a modular compiler design that enhances language adaptability and efficiency, demonstrating practical usability on resource-constrained devices.
• Neural Network Verification is a Programming Language Challenge: Proposes viewing neural network verification through the lens of programming language challenges, suggesting future directions for research.
• Fast, Secure, Adaptable: LionsOS Design, Implementation and Performance: Presents LionsOS, an operating system designed for critical embedded systems, showcasing superior performance over Linux.
• Verifying Device Drivers with Pancake: Introduces Pancake, a new language for systems programming aimed at simplifying the verification of device drivers, with a case study on an Ethernet NIC driver.