C-Pack of IPAs: A C90 Program Benchmark of Introductory Programming Assignments
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Abstract (arXiv)
Due to the vast number of students enrolled in Massive Open Online Courses (MOOCs), there has been an increasing number of automated program repair techniques focused on introductory programming assignments (IPAs). Such techniques take advantage of previous correct student implementations in order to provide automated, comprehensive, and personalized feedback to students. This paper presents C-Pack-IPAs, a publicly available benchmark of students' programs submitted for 25 different IPAs. C-Pack-IPAs contains semantically correct, semantically incorrect, and syntactically incorrect programs plus a test suite for each IPA. Hence, C-Pack-IPAs can be used to help evaluate the development of novel semantic, as well as syntactic, automated program repair frameworks, focused on providing feedback to novice programmers.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 5 of its 33 references that are in the map. First posted on arXiv 17 Jun 2022.
Builds on
5 of 33 references.
References · 5
- 2020Graph-based, Self-Supervised Program Repair from Diagnostic Feedbackcited by 93
- 2016Automated Clustering and Program Repair for Introductory Programming Assignmentscited by 21
- 2016Learning Syntactic Program Transformations from Examplescited by 17
- 2017Data-Driven Feedback Generation for Introductory Programming Exercisescited by 9
- 2021Verifix: Verified Repair of Programming Assignmentscited by 7
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 1.
5 papers.
- 2024Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localizationcited by 8
- 2022InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignmentscited by 4
- 2024CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Casescited by 1
- 2023Graph Neural Networks For Mapping Variables Between Programs -- Extended Versioncited by 0
- 2025Model-Based Diagnosis with Multiple Observations: A Unified Approach for C Software and Boolean Circuitscited by 0
- 2025Model-Based Diagnosis with Multiple Observations: A Unified Approach for C Software and Boolean Circuits2 Dec 2025
- 2024Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization19 Dec 2024
- 2024CFaults: Model-Based Diagnosis for Fault Localization in C Programs with Multiple Test Cases12 Jul 2024
- 2023Graph Neural Networks For Mapping Variables Between Programs -- Extended Version24 Jul 2023
- 2022InvAASTCluster: On Applying Invariant-Based Program Clustering to Introductory Programming Assignments28 Jun 2022