Artefact: an R implementation of the AutoSpearman function

Jirayus Jiarpakdee, Chakkrit Tantithamthavorn, Christoph Treude

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Software Maintenance and Evolution - ICSME 2018
Subtitle of host publication23–29 September 2018 Madrid, Spain
EditorsFoutse Khomh, David Lo
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages711
Number of pages1
ISBN (Electronic)9781538678701
DOIs
Publication statusPublished - 2018
Externally publishedYes
EventIEEE International Conference on Software Maintenance and Evolution 2018 - Madrid, Spain
Duration: 23 Sep 201829 Sep 2018
Conference number: 34th
https://icsme2018.github.io/
https://ieeexplore.ieee.org/xpl/conhome/8528818/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Software Maintenance and Evolution 2018
Abbreviated titleICSME 2018
CountrySpain
CityMadrid
Period23/09/1829/09/18
Internet address

Keywords

  • Correlated Metrics
  • Defect Prediction
  • Feature Selection
  • Model Interpretation
  • Software Analytics

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