Year: 2025
Type: conference-paper
Abstract: In large programming classes, it takes a significant effort from teachers to evaluate exercises and provide detailed feedback. In systems programming, test cases are not sufficient to assess exercises, since concurrency and resource management bugs are difficult to reproduce. This paper presents an experience report on static analysis for the automatic evaluation of systems programming exercises. We design systems programming assignments with static analysis rules that are tailored for each assignment, to provide detailed and accurate feedback. Our evaluation shows that static analysis can identify a significant number of erroneous submissions missed by test cases.
Author: Roberto Natella
Institution: University of Naples Federico II
Language: English
Subfield: Computer Science Applications
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4404354109