A Statistical Model to Assess the Team's Productivity in Agile Software Teams

Amir Mashmool; Samiyeh Khosravi; Javad Hassannataj Joloudari; Irum Inayat; Taghi Javdani Gandomani; Zulkefli Mansor; Shahab S. Band

doi:10.20944/preprints202009.0728.v2

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preprints.org > computer science and mathematics > algebra and number theory > doi: 10.20944/preprints202009.0728.v2

Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

A Statistical Model to Assess the Team's Productivity in Agile Software Teams

Amir Mashmool

^* ,

Samiyeh Khosravi

Javad Hassannataj Joloudari

Irum Inayat

Taghi Javdani Gandomani

Zulkefli Mansor

Shahab S. Band

Version 1 : Received: 29 September 2020 / Approved: 30 September 2020 / Online: 30 September 2020 (08:15:31 CEST)
Version 2 : Received: 30 October 2020 / Approved: 30 October 2020 / Online: 30 October 2020 (12:28:01 CET)
Version 3 : Received: 26 March 2021 / Approved: 29 March 2021 / Online: 29 March 2021 (11:14:51 CEST)

A peer-reviewed article of this Preprint also exists.

A. Mashmool, S. Khosravi, J. H. Joloudari, I. Inayat, T. J. Gandomani and A. Mosavi, "A Statistical Model to Assess the Team’s Productivity in Agile Software Teams," 2021 IEEE 4th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), 2021, pp. 11-18, doi: 10.1109/CANDO-EPE54223.2021.9667902. A. Mashmool, S. Khosravi, J. H. Joloudari, I. Inayat, T. J. Gandomani and A. Mosavi, "A Statistical Model to Assess the Team’s Productivity in Agile Software Teams," 2021 IEEE 4th International Conference and Workshop Óbuda on Electrical and Power Engineering (CANDO-EPE), 2021, pp. 11-18, doi: 10.1109/CANDO-EPE54223.2021.9667902.

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Abstract

Agile methods promise to achieve high productivity and provide high-quality software. Agile software development is the most important approach that has spread through the world of software development over the past decade. The software team’s productivity measurement is essential in agile teams to increase the performance of Software development. Due to the increasing competition of software development companies, software team productivity has become one of the crucial challenges for software companies and teams. Awareness of the level of team productivity can help them to achieve better estimation results on the time and cost of the projects. However, to measure software productivity, there is no definitive solution or approach whether in traditional and agile software development teams that lead to the occurrence of many problems in achieving a reliable definition of software productivity. Hence, this study aims to propose a statistical model to assess the team’s productivity in agile teams. A survey was conducted with forty software companies and measured the impact of six factors of the team on productivity in these companies. The results show that team effectiveness factors including inter-team relationship, quality conformance by the team, team vision, team leader, and requirements handled by the team had a significant impact on team productivity. Moreover, the results also state that inter-team relations affect the most on software teams’ productivity. Finally, the model fit test showed that 80% of productivity depends on team effectiveness factors.

Keywords

Agile Software Development; Agile Methods; Software Team Productivity; Normality; Statistical Model

Subject

Computer Science and Mathematics, Algebra and Number Theory

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Comments (1)

Comment 1

Received: 30 October 2020
Commenter: Shahab S. Band
Commenter's Conflict of Interests: Author

Comment: Added a new author and also We changed the title of the article.
Added new references that have been added in last month.
Added a new Paragraph about productivity. Added a section "Threats to the validity".
Fixed some notation issues. Fixed some grammar and style issues.

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