Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2018
Abstract
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.
Keywords
Correlated Metrics, Defect Prediction, Feature Selection, Model Interpretation, Software Analytics
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Proceedings of the 34th International Conference on Software Maintenance and Evolution, Madrid, Spain, 2018 September 23-29
First Page
711
Last Page
711
ISBN
9781538678701
Identifier
10.1109/ICSME.2018.00083
Publisher
Institute of Electrical and Electronics Engineers Inc.
City or Country
Madrid, Spain
Citation
JIARPAKDEE, Jirayus; TANTITHAMTHAVORN, Chakkrit; and TREUDE, Christoph.
Artefact: An R implementation of the autospearman function. (2018). Proceedings of the 34th International Conference on Software Maintenance and Evolution, Madrid, Spain, 2018 September 23-29. 711-711.
Available at: https://ink.library.smu.edu.sg/sis_research/8827
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICSME.2018.00083