Measuring Software Engineering Evolution: A Rasch Calibration

Sasa Dekleva and David Drehmer
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Sasa Dekleva: College of Commerce, DePaul University, 1 East Jackson Boulevard, Chicago, Illinois 60604-2287
David Drehmer: College of Commerce, DePaul University, 1 East Jackson Boulevard, Chicago, Illinois 60604-2287

Information Systems Research, 1997, vol. 8, issue 1, 95-104

Abstract: This investigation provides an empirical scaling of software engineering practices derived from the software process maturity model developed by the Software Engineering Institute of Carnegie Mellon University (Humphrey et al. [Humphrey, W. S., D. H. Kitson, T. C. Kasse. 1989. The state of software engineering practice: A preliminary report. Technical Report CMU/SEI-89-TR-1 ESD-TR-89-01, Carnegie-Mellon University, Software Engineering Institute, Pittsburgh, PA.]). An analysis of data collected in an extended software maintenance study has shown that the responses to Humphrey's key software practice items fit the Rasch psychometric model providing an alternative framework in which to understand the software development practices. The Rasch model analysis describes the likelihood of a practice deployment for any level of evolution and provides precise and meaningful measures.

Keywords: measurement and scaling; software process maturity; software process evolution; Rasch model; software productivity; software quality; risks (search for similar items in EconPapers)
Date: 1997
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