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Sixth International Software Metrics Symposium (METRICS'99)
Determinants of Success in Software Measurement Programs: Initial Results
Boca Raton, Florida
November 04-November 06
ISBN: 0-7695-0403-5
ASCII Text
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Dennis R. Goldenson, Anandasivam Gopal, Tridas Mukhopadhyay, "Determinants of Success in Software Measurement Programs: Initial Results," Software Metrics, IEEE International Symposium on, pp. 10, Sixth International Software Metrics Symposium (METRICS'99), 1999.
 
 
BibTex
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@article{ 10.1109/METRIC.1999.809721,
author = {Dennis R. Goldenson and Anandasivam Gopal and Tridas Mukhopadhyay},
title = {Determinants of Success in Software Measurement Programs: Initial Results},
journal ={Software Metrics, IEEE International Symposium on},
volume = {0},
year = {1999},
issn = {1530-1435},
pages = {10},
doi = {http://doi.ieeecomputersociety.org/10.1109/METRIC.1999.809721},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Metrics, IEEE International Symposium on
TI - Determinants of Success in Software Measurement Programs: Initial Results
SN - 1530-1435
SP
EP
A1 - Dennis R. Goldenson,
A1 - Anandasivam Gopal,
A1 - Tridas Mukhopadhyay,
PY - 1999
KW - software
KW - measurement
KW - metrics
KW - sample survey
KW - multivariate
KW - statistics
KW - quantitative
KW - analysis
KW - measurement program
KW - program implementation
VL - 0
JA - Software Metrics, IEEE International Symposium on
ER -
 
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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