DOI

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.
Original languageEnglish
Title of host publicationProceedings - 2017 IEEE/ACM 14th International Conference on Mining Software Repositories, MSR 2017
Place of PublicationLos Alamitos, CA
PublisherIEEE Computer Society
Pages511-514
Number of pages4
ISBN (Electronic)978-1-5386-1544-7
DOIs
StatePublished - 2017
EventMSR 2017 - Buenos Aires, Argentina
Duration: 20 May 201721 May 2017
Conference number: 14
http://2017.msrconf.org/#/home

Conference

ConferenceMSR 2017
Abbreviated titleMSR
CountryArgentina
CityBuenos Aires
Period20/05/1721/05/17
Internet address

    Research areas

  • Scratch, dataset, computing education

ID: 12908712