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AsanasCluster: Clustering Code Submissions by Steven Meyer is a document available to read on EtoBox.

The paper presents AsanasCluster, an online tool for clustering source code submissions in automated programming assessments, aimed at improving feedback by grouping similar mistakes and solutions. It utilizes semantic graph representations of code, focusing on control and data flow features, and employs an incremental k-means model for efficient clustering without requiring code execution. The evaluation shows that AsanasCluster performs well in terms of runtime and precision compared to existing tools, fa

Author
Steven Meyer
Language
EN