The Prospects of a Quantitative Measurement of Agility: A Validation Study on an Agile Maturity Model
Journal article, 2015

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.

Empirical study

Agility

Validation

Author

Lucas Gren

University of Gothenburg

Richard Torkar

University of Gothenburg

Robert Feldt

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

Journal of Systems and Software

0164-1212 (ISSN)

Vol. 107 38-49

Subject Categories

Software Engineering

Probability Theory and Statistics

DOI

10.1016/j.jss.2015.05.008

More information

Created

10/7/2017