Artefact: An R implementation of the autospearman function

This artefact is the implementation of AutoSpearman, an automated metric selection approach based on correlation analyses. The goal of AutoSpearman is to automatically mitigate correlated metrics prior to constructing analytical models. This artefact is implemented as an R package and is available i...

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Main Authors: JIARPAKDEE, Jirayus, TANTITHAMTHAVORN, Chakkrit, TREUDE, Christoph
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/sis_research/8827
https://ink.library.smu.edu.sg/context/sis_research/article/9830/viewcontent/Artefact_An_R_Implementation_of_the_AutoSpearman_Function.pdf
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spelling sg-smu-ink.sis_research-98302024-06-06T09:31:52Z Artefact: An R implementation of the autospearman function JIARPAKDEE, Jirayus TANTITHAMTHAVORN, Chakkrit TREUDE, Christoph This artefact is the implementation of AutoSpearman, an automated metric selection approach based on correlation analyses. The goal of AutoSpearman is to automatically mitigate correlated metrics prior to constructing analytical models. This artefact is implemented as an R package and is available in the GitHub repository. We provide descriptions and R code snippets for the installation of AutoSpearman and usage examples. 2018-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/8827 info:doi/10.1109/ICSME.2018.00083 https://ink.library.smu.edu.sg/context/sis_research/article/9830/viewcontent/Artefact_An_R_Implementation_of_the_AutoSpearman_Function.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Correlated Metrics Defect Prediction Feature Selection Model Interpretation Software Analytics Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Correlated Metrics
Defect Prediction
Feature Selection
Model Interpretation
Software Analytics
Software Engineering
spellingShingle Correlated Metrics
Defect Prediction
Feature Selection
Model Interpretation
Software Analytics
Software Engineering
JIARPAKDEE, Jirayus
TANTITHAMTHAVORN, Chakkrit
TREUDE, Christoph
Artefact: An R implementation of the autospearman function
description This artefact is the implementation of AutoSpearman, an automated metric selection approach based on correlation analyses. The goal of AutoSpearman is to automatically mitigate correlated metrics prior to constructing analytical models. This artefact is implemented as an R package and is available in the GitHub repository. We provide descriptions and R code snippets for the installation of AutoSpearman and usage examples.
format text
author JIARPAKDEE, Jirayus
TANTITHAMTHAVORN, Chakkrit
TREUDE, Christoph
author_facet JIARPAKDEE, Jirayus
TANTITHAMTHAVORN, Chakkrit
TREUDE, Christoph
author_sort JIARPAKDEE, Jirayus
title Artefact: An R implementation of the autospearman function
title_short Artefact: An R implementation of the autospearman function
title_full Artefact: An R implementation of the autospearman function
title_fullStr Artefact: An R implementation of the autospearman function
title_full_unstemmed Artefact: An R implementation of the autospearman function
title_sort artefact: an r implementation of the autospearman function
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/sis_research/8827
https://ink.library.smu.edu.sg/context/sis_research/article/9830/viewcontent/Artefact_An_R_Implementation_of_the_AutoSpearman_Function.pdf
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