Dataset: Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises

This repository contains supplementary materials for the following conference paper:

V. Švábenský, R. Weiss, J. Cook, J. Vykopal, P. Čeleda, J. Mache, R. Chudovský, A. Chattopadhyay.
Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises.
In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education (SIGCSE 2022).
https://doi.org/10.1145/3478431.3499414

Preprint available at: https://arxiv.org/abs/2112.02053

How to cite

If you use or build upon the materials, please use the BibTeX entry below to cite the original paper (not only this web link).

@inproceedings{Svabensky2022evaluating,
    author    = {\v{S}v\'{a}bensk\'{y}, Valdemar and Weiss, Richard and Cook, Jack and Vykopal, Jan and \v{C}eleda, Pavel and Mache, Jens and Chudovský, Radoslav and Chattopadhyay, Ankur},
    title     = {{Evaluating Two Approaches to Assessing Student Progress in Cybersecurity Exercises}},
    booktitle = {Proceedings of the 53rd ACM Technical Symposium on Computer Science Education},
    series    = {SIGCSE '22},
    location  = {Providence, RI, USA},
    publisher = {Association for Computing Machinery},
    address   = {New York, NY, USA},
    month     = {03},
    year      = {2022},
    pages     = {787--793},
    numpages  = {7},
    isbn      = {978-1-4503-9070-5},
    url       = {https://doi.org/10.1145/3478431.3499414},
    doi       = {10.1145/3478431.3499414},
}

Attached content

The materials include the research dataset, source code, and graphs. See the README.md file inside the attached ZIP file for more details.