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

Gren, Lucas, 1984 (author)
Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,SERL
Torkar, Richard, 1971 (author)
Blekinge Tekniska Högskola,Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU),University of Gothenburg,Institutionen för programvaruteknik,SERL
Feldt, Robert, 1972 (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik
 (creator_code:org_t)
Elsevier BV, 2015
2015
English.
In: Journal of Systems and Software. - : Elsevier BV. - 0164-1212 .- 1873-1228. ; 107, s. 38-49
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

Agility
Empirical study
Validation
Empirical study

Publication and Content Type

ref (subject category)
art (subject category)

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