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Success or Failure? Modeling the Likelihood of Software Process Improvement

: Emam, K. el; Goldenson, D.R.; McCurley, J.; Herbsleb, J.

Fulltext urn:nbn:de:0011-px-572235 (118 KByte PDF)
MD5 Fingerprint: 2aff78afc5294e7b57da606e19c08abe
Created on: 09.08.2000

Kaiserslautern, 1998, 14 pp. : Ill., Lit.
IESE-Report, 029.98/E
Reportnr.: IESE-Report 029.98/E
Report, Electronic Publication
Fraunhofer IESE ()

In this paper we present the results of a reanalysis of a study of factors that influence the success of software process improvement [6]. The initial report relied on simple statistical analytic methods, largely univariate and bivariate statistics. The current multivariate analysis replicates the basic results of the earlier study, while adding additional insights about the interactions among and comparative importance of the factors that make process improvement efforts likely to succeed or fail.