Association Metrics between Two Continuous Variables for Software Project Data

Takumi Kanehira; Akito Monden; Zeynep Yucel

doi:10.1109/SNPD51163.2021.9704983

Association Metrics between Two Continuous Variables for Software Project Data

Takumi Kanehira, Akito Monden, Zeynep Yucel

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall
Editors	Her-Terng Yau, Roland Stenzel, Mei-Ling Shyu, Hsiung-Cheng Lin
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	242-247
Number of pages	6
ISBN (Electronic)	9781665404037
DOIs	https://doi.org/10.1109/SNPD51163.2021.9704983
Publication status	Published - 2021
Event	22nd 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 2021 → Nov 26 2021

Publication series

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

Conference

Conference	22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall
Country/Territory	Taiwan, Province of China
City	Virtual, Taichung
Period	11/24/21 → 11/26/21

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

Access to Document

10.1109/SNPD51163.2021.9704983

Cite this

Kanehira, T., Monden, A., & Yucel, Z. (2021). Association Metrics between Two Continuous Variables for Software Project Data. In H-T. Yau, R. Stenzel, M-L. Shyu, & H-C. Lin (Eds.), Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall (pp. 242-247). (Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNPD51163.2021.9704983

Association Metrics between Two Continuous Variables for Software Project Data. / Kanehira, Takumi; Monden, Akito ; Yucel, Zeynep.

Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall. ed. / Her-Terng Yau; Roland Stenzel; Mei-Ling Shyu; Hsiung-Cheng Lin. Institute of Electrical and Electronics Engineers Inc., 2021. p. 242-247 (Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kanehira, T, Monden, A & Yucel, Z 2021, Association Metrics between Two Continuous Variables for Software Project Data. in H-T Yau, R Stenzel, M-L Shyu & H-C Lin (eds), Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall. Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall, Institute of Electrical and Electronics Engineers Inc., pp. 242-247, 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall, Virtual, Taichung, Taiwan, Province of China, 11/24/21. https://doi.org/10.1109/SNPD51163.2021.9704983

Kanehira T, Monden A , Yucel Z. Association Metrics between Two Continuous Variables for Software Project Data. In Yau H-T, Stenzel R, Shyu M-L, Lin H-C, editors, Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall. Institute of Electrical and Electronics Engineers Inc. 2021. p. 242-247. (Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall). https://doi.org/10.1109/SNPD51163.2021.9704983

Kanehira, Takumi ; Monden, Akito ; Yucel, Zeynep. / Association Metrics between Two Continuous Variables for Software Project Data. Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall. editor / Her-Terng Yau ; Roland Stenzel ; Mei-Ling Shyu ; Hsiung-Cheng Lin. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 242-247 (Proceedings - 22nd IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2021-Fall).

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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. ",

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Association Metrics between Two Continuous Variables for Software Project Data

Abstract

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Keywords

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