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Assessment of software tends to focus on postmortem evaluation of metrics like correctness, mergeability, and code coverage. This is evidenced in the current practices of continuous integration and deployment that focus on software's ability to pass unit tests before it can be merged into a deployment pipeline. However, little attention or tooling is given to the assessment of the software development process itself. Good process becomes both more challenging and more critical as software complexity increases. Real-time evaluation and feedback about a student's software development skills, such as incremental development, testing, and time management, could greatly increase productivity and improve the ability to write tested and correct code. In my research, I develop models to quantify a student's programming process in terms of these metrics. By measuring the programming process, I can empirically evaluate its adherence to known best practices in software engineering. With the ability to characterize this, I can build tools to provide them with intelligent and timely feedback when they are in danger of straying from those practices. In the long term, I hope to contribute to the standardization and adoption of continuous software assessment techniques that include not only the final product, but also the process undertaken to produce it.

Toward Continuous Assessment of the Programming Process