Hybrid assessment method for programming assignments

Abstract

In this work, we address the issue of automatic assessment for programming assignments. The objective is to provide immediate feedback to the learners and save teachers from manually managing all the students' solutions. We will present a method merging results from dynamic and static analysis to ensure a reliable and objective evaluation job. While dynamic analysis is based on unit testing framework, the static analysis will focus on finding the adequate structural similarity measure after transforming the programs into control flow graphs.