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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Supplementary materials for the paper "Hyperstyle : A Tool for Assessing the Code Quality of Solutions to Programming Assignments"

Authors: Birillo, Anastasiia; Vlasov, Ilya; Burylov, Artyom; Selishchev, Vitalii; Goncharov, Artyom; Tikhomirova, Elena; Vyahhi, Nikolay; +1 Authors

Supplementary materials for the paper "Hyperstyle : A Tool for Assessing the Code Quality of Solutions to Programming Assignments"

Abstract

The set of the artefacts for a SIGCSE-2022 paper. The SIGCSE_atrifacts.pdf document contains detailed information about each folder, also this document has supplementary materials. Folders: - comparison. This folder contains a public dataset in Java for comparison of our code assessment tool with the Tutor tool. - dynamics. This folder contains two datasets of Python and Java public submissions from Stepik and Hyperskill platforms to check the influence of our tool on students code style. - plots. This folder contains examples of charts that were plotted to analyze the tool thresholds. Supplementary materials: - Examples of code quality issues categories. This section in the document contains code snippets with examples of issues for each code quality issue category for Python and Java. - List of available subcategories in the tool. - Tables with penalty coefficients for detection of recurring errors algorithm - Examples of charts that were plotted to analyze the tool thresholds. This section is the same with the plots folder.

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Keywords

programming education, learning programming, code quality assessment, code formatting, refactoring

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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