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A Dataset of Scratch Programs: Scraped, Shaped and Scored. / Aivaloglou, Efthimia; Hermans, Felienne; Moreno-León, Jesús; Robles, Gregorio.

Proceedings of the 14th International Conference on Mining Software Repositories. IEEE, 2017. p. 511-514.

Research output: Scientific - peer-reviewConference contribution

Harvard

Aivaloglou, E, Hermans, F, Moreno-León, J & Robles, G 2017, A Dataset of Scratch Programs: Scraped, Shaped and Scored. in Proceedings of the 14th International Conference on Mining Software Repositories. IEEE, pp. 511-514. DOI: 10.1109/MSR.2017.45

APA

Aivaloglou, E., Hermans, F., Moreno-León, J., & Robles, G. (2017). A Dataset of Scratch Programs: Scraped, Shaped and Scored. In Proceedings of the 14th International Conference on Mining Software Repositories. (pp. 511-514). IEEE. DOI: 10.1109/MSR.2017.45

Vancouver

Aivaloglou E, Hermans F, Moreno-León J, Robles G. A Dataset of Scratch Programs: Scraped, Shaped and Scored. In Proceedings of the 14th International Conference on Mining Software Repositories. IEEE. 2017. p. 511-514. Available from, DOI: 10.1109/MSR.2017.45

Author

Aivaloglou, Efthimia; Hermans, Felienne; Moreno-León, Jesús; Robles, Gregorio / A Dataset of Scratch Programs: Scraped, Shaped and Scored.

Proceedings of the 14th International Conference on Mining Software Repositories. IEEE, 2017. p. 511-514.

Research output: Scientific - peer-reviewConference contribution

BibTeX

@inbook{26bc55fd284e4fc5bbca02857e84fbd7,
title = "A Dataset of Scratch Programs: Scraped, Shaped and Scored",
author = "Efthimia Aivaloglou and Felienne Hermans and Jesús Moreno-León and Gregorio Robles",
year = "2017",
doi = "10.1109/MSR.2017.45",
pages = "511--514",
booktitle = "Proceedings of the 14th International Conference on Mining Software Repositories",
publisher = "IEEE",
address = "United States",

}

RIS

TY - CHAP

T1 - A Dataset of Scratch Programs: Scraped, Shaped and Scored

AU - Aivaloglou,Efthimia

AU - Hermans,Felienne

AU - Moreno-León,Jesús

AU - Robles,Gregorio

PY - 2017

Y1 - 2017

N2 - Scratch is increasingly popular, both as an introductory programming language and as a research target in the computing education research field. In this paper, we present a dataset of 250K recent Scratch projects from 100K different authors scraped from the Scratch project repository. We processed the projects' source code and metadata to encode them into a database that facilitates querying and further analysis. We further evaluated the projects in terms of programming skills and mastery, and included the project scoring results. The dataset enables the analysis of the source code of Scratch projects, of their quality characteristics, and of the programming skills that their authors exhibit. The dataset can be used for empirical research in software engineering and computing education.

AB - Scratch is increasingly popular, both as an introductory programming language and as a research target in the computing education research field. In this paper, we present a dataset of 250K recent Scratch projects from 100K different authors scraped from the Scratch project repository. We processed the projects' source code and metadata to encode them into a database that facilitates querying and further analysis. We further evaluated the projects in terms of programming skills and mastery, and included the project scoring results. The dataset enables the analysis of the source code of Scratch projects, of their quality characteristics, and of the programming skills that their authors exhibit. The dataset can be used for empirical research in software engineering and computing education.

U2 - 10.1109/MSR.2017.45

DO - 10.1109/MSR.2017.45

M3 - Conference contribution

SP - 511

EP - 514

BT - Proceedings of the 14th International Conference on Mining Software Repositories

PB - IEEE

ER -

ID: 12908712