Association Metrics between Two Continuous Variables for Software Project Data

Takumi Kanehira, Akito Monden, Zeynep Yucel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The correlation coefficient is commonly used in analyses of software project data sets for the purpose of quantifying the relationship between two variables. However, while there are various types of relationships between two variables, the correlation coefficient cannot distinguish between these types. This study proposes new metrics between two continuous variables that have the potential to characterize the relationship types.

Original languageEnglish
Title of host publicationProceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall
EditorsHer-Terng Yau, Roland Stenzel, Mei-Ling Shyu, Hsiung-Cheng Lin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages242-247
Number of pages6
ISBN (Electronic)9781665404037
DOIs
Publication statusPublished - 2021
Event22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall - Virtual, Taichung, Taiwan, Province of China
Duration: Nov 24 2021Nov 26 2021

Publication series

NameProceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall

Conference

Conference22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall
Country/TerritoryTaiwan, Province of China
CityVirtual, Taichung
Period11/24/2111/26/21

Keywords

  • correlation coefficient
  • soft-ware project data analysis
  • Software metrics

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software
  • Information Systems and Management

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