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The Prospects of a Quantitative Measurement of Agility: A Validation Study on an Agile Maturity Model

Journal article
Authors Lucas Gren
Richard Torkar
Robert Feldt
Published in Journal of Systems and Software
Volume 107
Pages 38-49
ISSN 0164-1212
Publication year 2015
Published at Department of Computer Science and Engineering (GU)
Pages 38-49
Language en
Links dx.doi.org/10.1016/j.jss.2015.05.00...
Keywords Agility, Empirical study, Validation
Subject categories Statistics, Software Engineering

Abstract

Agile development has now become a well-known approach to collaboration in professional work life. Both researchers and practitioners want validated tools to measure agility. This study sets out to validate an agile maturity measurement model with statistical tests and empirical data. First, a pretest was conducted as a case study including a survey and focus group. Second, the main study was conducted with 45 employees from two SAP customers in the US. We used internal consistency (by a Cronbach’s alpha) as the main measure for reliability and analyzed construct validity by exploratory principal factor analysis (PFA). The results suggest a new categorization of a subset of items existing in the tool and provides empirical support for these new groups of factors. However, we argue that more work is needed to reach the point where a maturity models with quantitative data can be said to validly measure agility, and even then, such a measurement still needs to include some deeper analysis with cultural and contextual items.

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