  We present a perspective on platforms for code submission and automated
evaluation in the context of university teaching. Due to the COVID-19 pandemic,
such platforms have become an essential asset for remote courses and a
reasonable standard for structured code submission concerning increasing
numbers of students in computer sciences. Utilizing automated code evaluation
techniques exhibits notable positive impacts for both students and teachers in
terms of quality and scalability. We identified relevant technical and
non-technical requirements for such platforms in terms of practical
applicability and secure code submission environments. Furthermore, a survey
among students was conducted to obtain empirical data on general perception. We
conclude that submission and automated evaluation involves continuous
maintenance yet lowers the required workload for teachers and provides better
evaluation transparency for students.
