
CASET is a novel tool that leverages dynamic execution traces and unsupervised machine learning to automatically analyze the time complexity of student code submissions, enabling efficient and effective grading in CS1/CS2 courses.


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caset-a-novel-approach-to-automated-time-complexity-analysis-of-student-code-submissions-in-cs1-cs2-using-dynamic-traces-and-unsupervised-machine-learning


CASET: A Novel Approach to Automated Time Complexity Analysis of Student Code Submissions in CS1/CS2 Using Dynamic Traces and Unsupervised Machine Learning
