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Software . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2020
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
Software . 2020
License: CC BY
Data sources: Datacite
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Exploring Design Smells for Smell-Based Defect Prediction

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Oct 2020 English Publisher:Zenodo
Authors: Sotto-Mayor, Bruno; Elmishali, Amir; Kalech, Meir; Abreu, Rui;

doi: 10.5281/zenodo.4110652 , 10.5281/zenodo.4103852

Exploring Design Smells for Smell-Based Defect Prediction

Abstract

The archived file code.zip includes the software developed for the study in the article Exploring Design Smells for Smell-Based Defect Prediction. After extracting the archived file, you will find several python files. To reproduce the results obtained in this study, you have to do the following steps. We assume the reader is using macos or linux, and has python3, pip, and make installed. Edit the file config.ini Set the path of RepoDir to a directory where the program will install the 97 projects. (expect ~20GB) Run, "make" If there is an error equivalent to "may have been in progress in another thread when fork() was called". Add the following line to your .bashrc: export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES For any other issues reproducing the code, contact us at mail@brunosottomayor.com.

Related Organizations
Keywords

Defect Prediction, Code Smells, Smell-based Defect Prediction, Software Engineering, Bad Code Smells, Software Quality

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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).
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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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