Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Statistical Model to Compute the Effect of Agile Teams’ Productivity

Version 1 : Received: 29 September 2020 / Approved: 30 September 2020 / Online: 30 September 2020 (08:15:31 CEST)

How to cite: Mashmool, A.; Khosravi, S.; Joloudari, J.H.; Inayat, I.; Mansor, Z.; Band, S.S. A Statistical Model to Compute the Effect of Agile Teams’ Productivity. Preprints 2020, 2020090728 (doi: 10.20944/preprints202009.0728.v1). Mashmool, A.; Khosravi, S.; Joloudari, J.H.; Inayat, I.; Mansor, Z.; Band, S.S. A Statistical Model to Compute the Effect of Agile Teams’ Productivity. Preprints 2020, 2020090728 (doi: 10.20944/preprints202009.0728.v1).

Abstract

Agile methods promise to achieve high productivity and provide high-quality software. Agile software development is the most important model that has spread through the world of software development over the past decade. Software 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 more accurate 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 evaluate the productivity of the software in an up-to-date view of software development and to present a model for computing software team productivity. A survey was conducted with forty software development organizations located in Iran 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 an impact on productivity. Moreover, the results also state that inter-team relations affect the most on software teams’ productivity. Finally, using the model fit test, it found that 80% of productivity changes based on team effectiveness factors.

Subject Areas

Agile Methodology; Software Productivity; Software Development; Normality; Software team productivity

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