With the accelerating adoption of open source software, and an ever-growing body of case studies of security vulnerabilities being introduced by said open source software (Log4J arbitrary code execution, OpenSSH backdoor by way of XZ-utils, and the Polyfill CDN take over), the need for supply chain observability has become increasingly urgent. This need has been acknowledged by both industry and government, with calls to enforce the adoption of Software Bills of Materials (SBOMs).

Software developers sometimes use inefficient data structures or library interfaces without considering the potential impact they may have during the runtime of a program. This is due to the significant effort required to research and evaluate possibly more efficient alternatives. Consequently, there is a need for tooling to automate the design space exploration. Our proposed code optimisation solution, called Artemis++, tries to address this issue with automatic exploration and transformation of data structures to optimise software performance. In preliminary testing on three mainstream C++ libraries, we have observed improvements up to 16.09%, 27.90%, and 2.74% for CPU usage, runtime and memory, respectively.