Productivity Metrics for an Agile Software Development Team: A Systematic Review

Keywords: Agile software development, Software development management, performance metrics, productivity metrics, agile process

Abstract

Agile methodologies have been frequently adopted in software development. In the literature, multiple metrics have been used as tools for continuous improvement in Agile Software Development (ADS). However, there is a limited number of studies into specialized metrics for measuring a team’s productivity. This article presents a systematic review of the literature on metrics that assess the productivity of teams that create software implementing ADS. In total, 822 articles were identified, out of which 10 were selected applying the protocol described in this article. The results include 21 team productivity metrics, most of which focus on measuring the timely and frequent delivery of software and the value that tasks add to the software product. The classification of the metrics revealed that they are mainly oriented to organizational performance and project management and use numeric and comparative scales for measurements. These metrics reflect new trends in agile methodologies that encourage reflection-experimentation.

Author Biographies

Giovanni Hernández*, Universidad Mariana, Colombia

MSc. en Docencia Universitaria, Universidad Mariana, San Juan de Pasto-Colombia, gihernandez@umariana.edu.co

Álvaro Martínez, Universidad Mariana, Colombia

MSc. en Docencia Universitaria y Análisis y visualización de Datos Masivos, Universidad Mariana, San Juan de Pasto-Colombia, amartinez@umariana.edu.co

Robinson Jiménez, Universidad Mariana, Colombia

MSc. en Docencia Universitaria, Universidad Mariana, San Juan de Pasto-Colombia, rjimenez@umariana.edu.co

Franklin Jiménez, Universidad Mariana, Colombia

MSc. en Software Libre, Universidad Mariana, San Juan de Pasto-Colombia, fjimenez@umariana.edu.co

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How to Cite
[1]
G. . Hernández, Álvaro Martínez, R. . Jiménez, and F. Jiménez, “Productivity Metrics for an Agile Software Development Team: A Systematic Review”, TecnoL., vol. 22, pp. 63–81, Dec. 2019.

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Published
2019-12-05
Section
Review Article

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