Papers

Peer-reviewed Corresponding author
Nov, 2021

Association Metrics Between Two Continuous Variables for Software Project Data

Proc. 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
  • Takumi Kanehira
  • ,
  • Akito Monden
  • ,
  • Zeynep Yucel

Volume
Number
WP1-05
First page
1
Last page
6
Language
English
Publishing type
Research paper (international conference proceedings)
DOI
10.1109/SNPD51163.2021.9704983

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.

Link information
DOI
https://doi.org/10.1109/SNPD51163.2021.9704983
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85125699958&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85125699958&origin=inward
ID information
  • DOI : 10.1109/SNPD51163.2021.9704983
  • ISBN : 9781665404037
  • SCOPUS ID : 85125699958

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