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Determinants of Success in Software Measurement Programs: Initial Results
Boca Raton, Florida November 04-November 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/METRIC.1999.809721Sixth International Software Metrics ...
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Dennis R. Goldenson, Carnegie Mellon University
Anandasivam Gopal, Carnegie Mellon University
Tridas Mukhopadhyay, Carnegie Mellon University
While a great deal is known about technical issues of data gathering and applied statistics, less is known about what it takes to implement a successful software measurement program. Indeed a good deal of anecdotal evidence suggests that such efforts often fail. In this paper we report the initial results from a large scale survey of practitioners and users of software measurement programs. A preliminary multivariate analysis examines differences in the use of software measurement results in organizational decision making. Three variables account for two thirds of the observed variance.
Index Terms:
software, measurement, metrics, sample survey, multivariate, statistics, quantitative, analysis, measurement program, program implementation
Citation:
Dennis R. Goldenson, Anandasivam Gopal, Tridas Mukhopadhyay, "Determinants of Success in Software Measurement Programs: Initial Results," metrics, pp.10, Sixth International Software Metrics Symposium (METRICS'99), 1999
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