Motive Metrics: A Jira plug-in for personality, motivation and performance tracking

An Cao; Jie Xiang Fan; Akash Saggar; Kunj Dave; Sharan Sharabinth; Jiten Verma; Dulaji Hidellaarachchi; John Grundy

doi:10.1109/COMPSAC57700.2023.00259

Motive Metrics: A Jira plug-in for personality, motivation and performance tracking

An Cao, Jie Xiang Fan, Akash Saggar, Kunj Dave, Sharan Sharabinth, Jiten Verma, Dulaji Hidellaarachchi, John Grundy

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Requirements Engineering (RE) is an essential part of Software Engineering (SE). As RE activities rely heavily on people, the success of RE is influenced by the human aspects of the team involved. In this research, we develop a prototype application, called Motive Metrics, to improve RE activities by allowing managers to track developers' personality and motivation and monitor their impact on developer performance and satisfaction. The tool takes the form of an extension to Jira and was developed through rapid prototyping. The effectiveness and usability of the tool were evaluated by student teams split into managers and team members. When evaluating Motive Metrics, 45.5% of participants rated 4 out of 5 for the application's effectiveness in capturing personalities, but only 9.1% of participants rated 4 out of 5 for capturing motivations. Motive Metrics is likely ineffective in monitoring satisfaction and performance, as 45% of participants rated 1 out of 5 in comfort in sharing their responses. Our evaluation results also show that Motive Metrics might not be beneficial in tracking the influence of motivation on the outcome but slightly more beneficial in tracking the influence of personality on RE task performance.

Original language	English
Title of host publication	Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023
Editors	Hossain Shahriar, Yuuichi Teranishi, Alfredo Cuzzocrea, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Hiroki Kashiwazaki, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1675-1682
Number of pages	8
ISBN (Electronic)	9798350326970
ISBN (Print)	9798350326987
DOIs	https://doi.org/10.1109/COMPSAC57700.2023.00259
Publication status	Published - 2023
Event	IEEE International Workshop on Secure Digital Identity Management 2023 - Torino, Italy Duration: 29 Jun 2023 → 29 Jun 2023 Conference number: 6th https://ieeecompsac.computer.org/2023/sdim-2023/

Conference

Conference	IEEE International Workshop on Secure Digital Identity Management 2023
Abbreviated title	SDIM 2023
Country/Territory	Italy
City	Torino
Period	29/06/23 → 29/06/23
Internet address	https://ieeecompsac.computer.org/2023/sdim-2023/

Keywords

Human Aspects
Motivation
Performance
Personality
Requirements Engineering
Satisfaction
Software Engineering
Software Practitioners

Access to Document

10.1109/COMPSAC57700.2023.00259

Cite this

Cao, A., Xiang Fan, J., Saggar, A., Dave, K., Sharabinth, S., Verma, J., Hidellaarachchi, D., & Grundy, J. (2023). Motive Metrics: A Jira plug-in for personality, motivation and performance tracking. In H. Shahriar, Y. Teranishi, A. Cuzzocrea, M. Sharmin, D. Towey, AKM. J. A. Majumder, H. Kashiwazaki, J.-J. Yang, M. Takemoto, N. Sakib, R. Banno, & S. I. Ahamed (Eds.), Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023 (pp. 1675-1682). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/COMPSAC57700.2023.00259

Cao, An ; Xiang Fan, Jie ; Saggar, Akash et al. / Motive Metrics : A Jira plug-in for personality, motivation and performance tracking. Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. editor / Hossain Shahriar ; Yuuichi Teranishi ; Alfredo Cuzzocrea ; Moushumi Sharmin ; Dave Towey ; AKM Jahangir Alam Majumder ; Hiroki Kashiwazaki ; Ji-Jiang Yang ; Michiharu Takemoto ; Nazmus Sakib ; Ryohei Banno ; Sheikh Iqbal Ahamed. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2023. pp. 1675-1682

@inproceedings{0e558d4e4f394617a67e6cb20781ea73,

title = "Motive Metrics: A Jira plug-in for personality, motivation and performance tracking",

abstract = "Requirements Engineering (RE) is an essential part of Software Engineering (SE). As RE activities rely heavily on people, the success of RE is influenced by the human aspects of the team involved. In this research, we develop a prototype application, called Motive Metrics, to improve RE activities by allowing managers to track developers' personality and motivation and monitor their impact on developer performance and satisfaction. The tool takes the form of an extension to Jira and was developed through rapid prototyping. The effectiveness and usability of the tool were evaluated by student teams split into managers and team members. When evaluating Motive Metrics, 45.5\% of participants rated 4 out of 5 for the application's effectiveness in capturing personalities, but only 9.1\% of participants rated 4 out of 5 for capturing motivations. Motive Metrics is likely ineffective in monitoring satisfaction and performance, as 45\% of participants rated 1 out of 5 in comfort in sharing their responses. Our evaluation results also show that Motive Metrics might not be beneficial in tracking the influence of motivation on the outcome but slightly more beneficial in tracking the influence of personality on RE task performance.",

keywords = "Human Aspects, Motivation, Performance, Personality, Requirements Engineering, Satisfaction, Software Engineering, Software Practitioners",

author = "An Cao and \{Xiang Fan\}, Jie and Akash Saggar and Kunj Dave and Sharan Sharabinth and Jiten Verma and Dulaji Hidellaarachchi and John Grundy",

note = "Funding Information: ACKNOWLEDGMENTS Hidellaarachchi is supported by Monash Faculty of IT PhD scholarships. Grundy is supported by ARC Laureate Fellowship FL190100035. Publisher Copyright: {\textcopyright} 2023 IEEE.; IEEE International Workshop on Secure Digital Identity Management 2023, SDIM 2023 ; Conference date: 29-06-2023 Through 29-06-2023",

year = "2023",

doi = "10.1109/COMPSAC57700.2023.00259",

language = "English",

isbn = "9798350326987",

pages = "1675--1682",

editor = "Hossain Shahriar and Yuuichi Teranishi and Alfredo Cuzzocrea and Moushumi Sharmin and Dave Towey and Majumder, \{AKM Jahangir Alam\} and Hiroki Kashiwazaki and Ji-Jiang Yang and Michiharu Takemoto and Nazmus Sakib and Ryohei Banno and Ahamed, \{Sheikh Iqbal\}",

booktitle = "Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeecompsac.computer.org/2023/sdim-2023/",

}

Cao, A, Xiang Fan, J, Saggar, A, Dave, K, Sharabinth, S, Verma, J, Hidellaarachchi, D & Grundy, J 2023, Motive Metrics: A Jira plug-in for personality, motivation and performance tracking. in H Shahriar, Y Teranishi, A Cuzzocrea, M Sharmin, D Towey, AKMJA Majumder, H Kashiwazaki, J-J Yang, M Takemoto, N Sakib, R Banno & SI Ahamed (eds), Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1675-1682, IEEE International Workshop on Secure Digital Identity Management 2023, Torino, Italy, 29/06/23. https://doi.org/10.1109/COMPSAC57700.2023.00259

Motive Metrics: A Jira plug-in for personality, motivation and performance tracking. / Cao, An; Xiang Fan, Jie; Saggar, Akash et al.
Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. ed. / Hossain Shahriar; Yuuichi Teranishi; Alfredo Cuzzocrea; Moushumi Sharmin; Dave Towey; AKM Jahangir Alam Majumder; Hiroki Kashiwazaki; Ji-Jiang Yang; Michiharu Takemoto; Nazmus Sakib; Ryohei Banno; Sheikh Iqbal Ahamed. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2023. p. 1675-1682.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Motive Metrics

T2 - IEEE International Workshop on Secure Digital Identity Management 2023

AU - Cao, An

AU - Xiang Fan, Jie

AU - Saggar, Akash

AU - Dave, Kunj

AU - Sharabinth, Sharan

AU - Verma, Jiten

AU - Hidellaarachchi, Dulaji

AU - Grundy, John

N1 - Conference code: 6th

PY - 2023

Y1 - 2023

N2 - Requirements Engineering (RE) is an essential part of Software Engineering (SE). As RE activities rely heavily on people, the success of RE is influenced by the human aspects of the team involved. In this research, we develop a prototype application, called Motive Metrics, to improve RE activities by allowing managers to track developers' personality and motivation and monitor their impact on developer performance and satisfaction. The tool takes the form of an extension to Jira and was developed through rapid prototyping. The effectiveness and usability of the tool were evaluated by student teams split into managers and team members. When evaluating Motive Metrics, 45.5% of participants rated 4 out of 5 for the application's effectiveness in capturing personalities, but only 9.1% of participants rated 4 out of 5 for capturing motivations. Motive Metrics is likely ineffective in monitoring satisfaction and performance, as 45% of participants rated 1 out of 5 in comfort in sharing their responses. Our evaluation results also show that Motive Metrics might not be beneficial in tracking the influence of motivation on the outcome but slightly more beneficial in tracking the influence of personality on RE task performance.

AB - Requirements Engineering (RE) is an essential part of Software Engineering (SE). As RE activities rely heavily on people, the success of RE is influenced by the human aspects of the team involved. In this research, we develop a prototype application, called Motive Metrics, to improve RE activities by allowing managers to track developers' personality and motivation and monitor their impact on developer performance and satisfaction. The tool takes the form of an extension to Jira and was developed through rapid prototyping. The effectiveness and usability of the tool were evaluated by student teams split into managers and team members. When evaluating Motive Metrics, 45.5% of participants rated 4 out of 5 for the application's effectiveness in capturing personalities, but only 9.1% of participants rated 4 out of 5 for capturing motivations. Motive Metrics is likely ineffective in monitoring satisfaction and performance, as 45% of participants rated 1 out of 5 in comfort in sharing their responses. Our evaluation results also show that Motive Metrics might not be beneficial in tracking the influence of motivation on the outcome but slightly more beneficial in tracking the influence of personality on RE task performance.

KW - Human Aspects

KW - Motivation

KW - Performance

KW - Personality

KW - Requirements Engineering

KW - Satisfaction

KW - Software Engineering

KW - Software Practitioners

UR - https://www.scopus.com/pages/publications/85168904746

U2 - 10.1109/COMPSAC57700.2023.00259

DO - 10.1109/COMPSAC57700.2023.00259

M3 - Conference Paper

AN - SCOPUS:85168904746

SN - 9798350326987

SP - 1675

EP - 1682

BT - Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023

A2 - Shahriar, Hossain

A2 - Teranishi, Yuuichi

A2 - Cuzzocrea, Alfredo

A2 - Sharmin, Moushumi

A2 - Towey, Dave

A2 - Majumder, AKM Jahangir Alam

A2 - Kashiwazaki, Hiroki

A2 - Yang, Ji-Jiang

A2 - Takemoto, Michiharu

A2 - Sakib, Nazmus

A2 - Banno, Ryohei

A2 - Ahamed, Sheikh Iqbal

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

Y2 - 29 June 2023 through 29 June 2023

ER -

Cao A, Xiang Fan J, Saggar A, Dave K, Sharabinth S, Verma J et al. Motive Metrics: A Jira plug-in for personality, motivation and performance tracking. In Shahriar H, Teranishi Y, Cuzzocrea A, Sharmin M, Towey D, Majumder AKMJA, Kashiwazaki H, Yang JJ, Takemoto M, Sakib N, Banno R, Ahamed SI, editors, Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2023. p. 1675-1682 doi: 10.1109/COMPSAC57700.2023.00259

Motive Metrics: A Jira plug-in for personality, motivation and performance tracking

Abstract

Conference

Keywords

Access to Document

Other files and links

HCMDSE: Human-centric Model-driven Software Engineering

Cite this

Motive Metrics: A Jira plug-in for personality, motivation and performance tracking

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

HCMDSE: Human-centric Model-driven Software Engineering

Cite this