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Cited by 554

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Review of recent systems for automatic assessment of programming assignments

Ihantola, Petri, Ahoniemi, Tuukka, Karavirta, Ville, Seppälä, Otto·2010·Proceedings of the 10th Koli Calling International Conference on Computing Education Research
DOI 10.1145/1930464.1930480
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Abstract

This paper presents a systematic literature review of the recent (2006--2010) development of automatic assessment tools for programming exercises. We discuss the major features that the tools support and the different approaches they are using both from the pedagogical and the technical point of view. Examples of these features are ways for the teacher to define tests, resubmission policies, security issues, and so forth. We have also identified a list of novel features, like assessing web software, that are likely to get more research attention in the future. As a conclusion, we state that too many new systems are developed, but also acknowledge the current reasons for the phenomenon. As one solution we encourage opening up the existing systems and joining efforts on developing those further. Selected systems from our survey are briefly described in Appendix A.

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Metadata

Authors
Ihantola, P., Ahoniemi, T., Karavirta, V., & Seppälä, O.
Venue
Proceedings of the 10th Koli Calling International Conference on Computing Education Research
Publisher
ACM
Published
2010-10-28
Pages
86-93
DOI
10.1145/1930464.1930480
OpenAlex
W2151828850
Cited by
554
References
48
FWCI
14.53
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review of recent systems for automatic assessment of programming assignments. https://app.cochat.ai/papers/10.1145/1930464.1930480
The paper
Ihantola, P., Ahoniemi, T., Karavirta, V., & Seppälä, O. (2010). Review of recent systems for automatic assessment of programming assignments. Proceedings of the 10th Koli Calling International Conference on Computing Education Research. https://doi.org/10.1145/1930464.1930480

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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