Joseph Starr, PhD

Served as developer then technical lead on a MICROSAR (AUTOSAR) powered power distribution box (RL78). In my development role I carried out the left side of the ASPICE V SWE life cycle for both the application and bootloader layers. Using Enterprise Architect I created internal software requirements, both architecture and detailed software designs. Using DaVinci Configurator and DaVinci Developer I translated my design into a software implementation. In my technical lead capacity I conducted code and design reviews for team members. I also analyzed customer (OEM) requirements and was the primary contact for customer technical concerns. Finally, I organized, planned, and oversaw all technical development efforts. In my oversight duties I fostered strong team bonds by leading sprint kickoff and retrospective meetings.

Conducted next generation product prototyping (Traveo II) and kickoff activities which ensured a seamless transition between product versions. Investigated and tested development infrastructure such as standard debugger, IDE, and build system. Analyzed customer (OEM) requirements and sourced the project AUTOSAR and bootloader stacks. Developed hardware proofing software stack used to flex prototype hardware to ensure correctness and compatibility with software requirements.

Developed ASPICE compliant tooling for programmatically parsing customer (OEM) requirements documents into enterprise architect, including full traceability analysis and reporting of Enterprise Architect models offering the following tracing: customer requirements $\leftrightarrow$ use cases $\leftrightarrow$ design $\leftrightarrow$ implementation $\leftrightarrow$ validation. Created the build toolchain which allowed for easy targeting of multiple environments (real hardware and virtual ECU). Created flexible and fast Jenkins configuration to enable both hardware and virtual ECU (PC) testing. Additionally, defined the CI/CD quality gates used to qualify software for inclusion into releases and creation of releases.

Produced a large dataset of objects called arborescent tangles as a portion of my PhD research. My architectural design allowed me to run my generation tooling on various platforms such as PC, mobile, browser, and high performance computing clusters. The tooling I created consisted of a collection of flexible and extensibile C libraries. The libraries were then wrapped with one of C++, JavaScript, or Python. The tooling was built within a generalized software development process and design I created to ensure program correctness and extensibility of the libraries for future researchers. This dataset is used by math, physics, and biology researchers as an input to their research work.