A Comparative Analysis of Agile Teamwork Quality Measurement Models
Abstract
Multiple models (or instruments) for measuring Teamwork Quality (TWQ) for Agile Software Development can be found in the literature. Regardless, such models have different constructs and measures, with no empirical evidence for comparing them. This study analyzed two agile TWQ models, resulting in equivalent results. We mapped the models' variables given their definitions.We then collected data using both a Bayesian Network model, namely the TWQ-BN model, and Structural Equation Modeling, namely the TWQ-SEM model. We interviewed 162 team members from two software development companies. We analyzed the data using the Bland-Altman method. We obtained enough evidence to conclude that the results for Communication, Coordination, Cohesion and Mutual Support variables are not equivalent. On the other hand, we did not have enough evidence to claim that the models do not agree for measuring Effort and Balance of member contribution variables. The results of this study detail how two state-of-the-art agile TWQs compare in terms of their measures as well as potential research areas for further investigation.
Keywords
Teamwork Quality Models, Empirical Study, Comparative Analysis, Agile Software Development
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
M. Silva, M. Perkusich, A. Freire, D. Albuquerque, K. Gorgonio, H. Almeida, A. Perkusich and E. Guimaraes, "A Comparative Analysis of Agile Teamwork Quality Measurement Models," in Journal of Communications Software and Systems, vol. 18, no. 2, pp. 153-164, May 2022, doi: https://doi.org/10.24138/jcomss-2021-0177
@article{silva2022comparativeanalysis,
author = {Manuel Silva and Mirko Perkusich and Arthur Freire and Danyllo Albuquerque and Kyller Costa Gorgonio and Hyggo Almeida and Angelo Perkusich and Everton Guimaraes},
title = {A Comparative Analysis of Agile Teamwork Quality Measurement Models},
journal = {Journal of Communications Software and Systems},
month = {5},
year = {2022},
volume = {18},
number = {2},
pages = {153--164},
doi = {https://doi.org/10.24138/jcomss-2021-0177},
url = {https://doi.org/https://doi.org/10.24138/jcomss-2021-0177}
}