research-article

On the influence of different perspectives on evaluating the teamwork quality in the context of agile software development

Authors:

Mirko Perkusich,

Kyller Gorgônio,

Angelo PerkusichAuthors Info & Claims

SBES '20: Proceedings of the XXXIV Brazilian Symposium on Software Engineering

Pages 1 - 10

https://doi.org/10.1145/3422392.3422397

Published: 21 December 2020 Publication History

Abstract

Background: The literature reports that different perspectives (i.e., roles) within an agile software development team (ASD) perceive the impact of teamwork quality (TWQ) on team performance in different ways. However, nothing is said about the perspective influence on the assessment TWQ construct itself. Aims: To fill this gap, this study provides a more in-depth insight into how the perspective affects the perception of the variables in TWQ construct. Method: We performed a comparative analysis in which we collected TWQ-related data from 21 ASD teams from 2 software development companies. We interviewed 130 professionals from different roles (i.e., developers, technical leader, and manager). We compared the results for the associated perspectives using the Mean Relative Error (MRE). Results: The leader and manager perspectives show reasonable agreement when evaluating three variables that compose the TWQ (i.e., Cohesion, Self-Organizing, and Team Orientation). Developers and managers strongly agreed on four variables (i.e., Communication, Cohesion, Self-Organizing, and Collaboration). For developers and leaders, only the Coordination variable showed reasonable agreement. Conclusions: We believe that more studies are needed to generalize the results. However, the research indicates that different perspectives evaluate the variables that compose the TWQ construct in different ways. Closer discussions and definitions of more objective metrics are advisable to assess these variables, aiming to align expectations between perspectives and consensus when measuring efforts to achieve continuous improvement team's.

References

[1]

Ronald D Anderson and Gyula Vastag. 2004. Causal modeling alternatives in operations research: Overview and application. European Journal of Operational Research 156, 1 (2004), 92--109. https://doi.org/10.1016/S0377-2217(02)00904-9 EURO Excellence in Practice Award 2001.

[2]

Irad Ben-Gal. 2008. Bayesian networks. Encyclopedia of statistics in quality and reliability 1 (2008).

[3]

Barry Boehm and Richard Turner. 2003. Balancing agility and discipline: A guide for the perplexed. Addison-Wesley Professional.

Digital Library

[4]

Syed Aftab Hassan Bukhari. 2011. What is Comparative Study. Available at SSRN 1962328 (2011).

[5]

Torgeir Dingsøyr, Tor Erlend Fægri, Tore Dybå, Børge Haugset, and Yngve Lindsjørn. 2016. Team performance in software development: research results versus agile principles. IEEE software 33, 4 (2016), 106--110.

[6]

Torgeir Dingsøyr, Sridhar Nerur, VenuGopal Balijepally, and Nils Brede Moe. 2012. A decade of agile methodologies: Towards explaining agile software development.

[7]

N. E. Fenton, M. Neil, and Jose Galan Caballero. 2007. Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks. Knowledge and Data Engineering, IEEE Transactions on 19, 10 (Oct 2007), 1420--1432. https://doi.org/10.1109/TKDE.2007.1073

Digital Library

[8]

Arthur Freire, Mirko Perkusich, Renata Saraiva, Hyggo Almeida, and Angelo Perkusich. 2018. A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams. Information and Software Technology 100 (2018), 119--132.

[9]

Martin Hoegl and Hans Georg Gemuenden. 2001. Teamwork quality and the success of innovative projects: A theoretical concept and empirical evidence. Organization science 12, 4 (2001), 435--449.

[10]

R Murray Lindsay and Andrew SC Ehrenberg. 1993. The design of replicated studies. The American Statistician 47, 3 (1993), 217--228.

[11]

Yngve Lindsjørn, Dag IK Sjøberg, Torgeir Dingsøyr, Gunnar R Bergersen, and Tore Dybå. 2016. Teamwork quality and project success in software development: A survey of agile development teams. Journal of Systems and Software 122 (2016), 274--286.

Digital Library

[12]

I Scott MacKenzie. 2012. Human-computer interaction: An empirical research perspective. Newnes.

[13]

Nils Brede Moe and Aybüke Aurum. 2008. Understanding decision-making in agile software development: a case-study. In 2008 34th Euromicro Conference Software Engineering and Advanced Applications. IEEE, 216--223.

Digital Library

[14]

Nils Brede Moe and Torgeir Dingsøyr. 2008. Scrum and team effectiveness: Theory and practice. In International conference on agile processes and extreme programming in software engineering. Springer, 11--20.

[15]

Nils Brede Moe, Torgeir Dingsøyr, and Tore Dybå. 2010. A teamwork model for understanding an agile team: A case study of a Scrum project. Information and Software Technology 52, 5 (2010), 480--491.

Digital Library

[16]

Brian Mullen and Carolyn Copper. 1994. The relation between group cohesiveness and performance: An integration. Psychological bulletin 115, 2 (1994), 210.

[17]

Thomas E Murphy, Jim Duggan, David Norton, Brian Prentice, Daryl C Plummer, and Susan Landry. 2009. Predicts 2010: Agile and cloud impact application development directions. Gartner, Dec (2009).

[18]

Maria Paasivaara, Casper Lassenius, and Ville T Heikkilä. 2012. Inter-team coordination in large-scale globally distributed scrum: Do scrum-of-scrums really work?. In Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement. 235--238.

Digital Library

[19]

Lukasz Radlinski. 2010. Asurvey of bayesian net models for software development effort prediction. International Journal of Software Engineering and Computing 2, 2 (2010), 95--109.

[20]

Knut Rolland, Torgeir Dingsoyr, Brian Fitzgerald, and Klaas-Jan Stol. 2016. Problematizing agile in the large: alternative assumptions for large-scale agile development. In 39th International Conference on Information Systems. Association for Information Systems (AIS).

[21]

Tali Seger, Orit Hazzan, and Ronen Bar-Nahor. 2008. Agile orientation and psychological needs, self-efficacy, and perceived support: a two job-level comparison. In Agile 2008 Conference. IEEE, 3--14.

Digital Library

[22]

Muhammad Usman, Emilia Mendes, Francila Weidt, and Ricardo Britto. 2014. Effort estimation in agile software development: a systematic literature review. In Proceedings of the 10th international conference on predictive models in software engineering. 82--91.

Digital Library

[23]

VersionOne. 2019. 13th Annual State of Agile Development Survey Results. https://www.stateofagile.com/#ufh-i-521251909-13th-annual-state-of-agile-report/473508. Accessed em: 07-01-2019.

[24]

Claes Wohlin, Per Runeson, Martin Höst, Magnus C Ohlsson, Björn Regnell, and Anders Wesslén. 2012. Experimentation in software engineering. Springer Science & Business Media.

[25]

S Michelle Young, Helen M Edwards, Sharon McDonald, and J Barrie Thompson. 2005. Personality characteristics in an XP team: a repertory grid study. In Proceedings of the 2005 workshop on Human and social factors of software engineering. 1--7.

Digital Library

Cited By

Ferreira MGadelha B(2024)Meu time vai bem? Dashboards para acompanhamento de times de desenvolvimento de softwareAnais do XIX Simpósio Brasileiro de Sistemas Colaborativos (SBSC 2024)10.5753/sbsc.2024.238060(246-254)Online publication date: 29-Apr-2024
https://doi.org/10.5753/sbsc.2024.238060
Guerrero-Calvache MHernández G(2024)Métricas para la evaluación de factores de productividad de equipo en desarrollo ágil de software: un mapeo sistemático de literaturaMetrics for the Evaluation of Team Productivity Factors in Agile Software Development: A Systematic Literature MappingTecnoLógicas10.22430/22565337.291827:59(e2918)Online publication date: 29-Apr-2024
https://doi.org/10.22430/22565337.2918
Poth AKottke MMahr TRiel A(2023)Teamwork quality in technology‐driven product teams in large‐scale agile organizationsJournal of Software: Evolution and Process10.1002/smr.238835:8Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1002/smr.2388
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Index Terms

On the influence of different perspectives on evaluating the teamwork quality in the context of agile software development
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
2. Mathematics of computing
  1. Probability and statistics
    1. Probabilistic representations
      1. Bayesian networks

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cover image ACM Other conferences

SBES '20: Proceedings of the XXXIV Brazilian Symposium on Software Engineering

October 2020

901 pages

ISBN:9781450387538

DOI:10.1145/3422392

General Chairs:
Everton Cavalcante
UFRN, Brazil
,
Francisco Dantas
UERN, Brazil
,
Thais Batista
UFRN, Brazil

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SBC: Brazilian Computer Society

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New York, NY, United States

Publication History

Published: 21 December 2020

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SBES '20

SBES '20: 34th Brazilian Symposium on Software Engineering

October 21 - 23, 2020

Natal, Brazil

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Cited By

Ferreira MGadelha B(2024)Meu time vai bem? Dashboards para acompanhamento de times de desenvolvimento de softwareAnais do XIX Simpósio Brasileiro de Sistemas Colaborativos (SBSC 2024)10.5753/sbsc.2024.238060(246-254)Online publication date: 29-Apr-2024
https://doi.org/10.5753/sbsc.2024.238060
Guerrero-Calvache MHernández G(2024)Métricas para la evaluación de factores de productividad de equipo en desarrollo ágil de software: un mapeo sistemático de literaturaMetrics for the Evaluation of Team Productivity Factors in Agile Software Development: A Systematic Literature MappingTecnoLógicas10.22430/22565337.291827:59(e2918)Online publication date: 29-Apr-2024
https://doi.org/10.22430/22565337.2918
Poth AKottke MMahr TRiel A(2023)Teamwork quality in technology‐driven product teams in large‐scale agile organizationsJournal of Software: Evolution and Process10.1002/smr.238835:8Online publication date: 7-Aug-2023
https://dl.acm.org/doi/10.1002/smr.2388
Bastarrica MSimmonds J(2022)The effects of team gender composition in capstone software development projects2022 41st International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC57464.2022.10000331(1-6)Online publication date: 21-Nov-2022
https://doi.org/10.1109/SCCC57464.2022.10000331

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