| Abstract |
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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.
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 Additional Information
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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,
p. 10,
Sixth International Software Metrics Symposium (METRICS'99),
1999
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