Abstract
In the literature, the expression metrics validation is used in many ways with different meanings. This paper analyzes and compares some of the validation approaches currently proposed. The basis for this analysis is a process model for software measurement methods which identifies the distinct steps involved from the design of a measurement method to the exploitation of the measurement results. This process model for software measurement methods is used to position various authors’ validation criteria according to the measurement process to which they apply. This positioning enables the establishment of relationships among the various validation approaches. It also makes it possible to show that, because none of these validation approaches proposed to date in the literature covers the full spectrum of the process of measurement methods, a complete and practical validation framework does not yet exist.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
A. Abran, E. Ahki Validation requirement for functional size measurement. Internal Report, Research Laboratory in Software Engineering, Université du Québec à Montréal, 1994.
K.G. van der Berg, P.M. van der Broek Axiomatic Validation in the Software Metric Development Process. in Software Measurement, Edited by A. Melton, International Thomson Publishing Compagny, p.157, 1996.
N. Fenton Software Metrics: A Rigorous Approach. Chapman & Hall, 1991.
N. Fenton and B. Kitchenham Validating Software Measures, J. of Software Technology, Verification and Reliability,vol 1, no. 2, pp. 27–42, 1991.
D.A. Gustafson, J.T. Tan, P. Weaver Software Metric Specification. in Software Measurement, Edited by A. Melton, International Thomson Publishing Compagny, p.179, 1996.
D.A. Gustafson, R.M. Toledo, N. Temsamani A critique of validation/verification techniques for software development measures. in T. Denvir, R. Herman and R. W. Whitty, eds., Formal Aspects of Measurement, pp. 145–156. Springer, New York, 1992.
J.P. Jacquet, A. Abran From Software Metrics to Software Measurement Methods: A Process Model. Accepted at the Third International Symposium and Forum on Software Engineering Standards, ISESS `97, IEEE, Walnut Creek (CA), June 1997.
B. Kitchenham, S. L. Pfleeger, N. Fenton Towards a Framework for Software Measurement Validation. IEEE Transactions On Software Engineering, Vol 21, Dec. 1995.
P.M. Morris, J.M. Desharnais Function Point Analysis. Validating the Results. IFPUG Spring Conference, Atlanta, April 1996.
R.E. Prather An Axiomatic Theory of Software Complexity Metrics. Computer Journal, 27(4):42–45, 1984.
N. Schneidewind Methodology for Validating Software Metrics. IEEE Transactions on Software Engineering, Vol. 18, no. 5, pp. 410–442, May 92.
M. Shepperd, Darrel Ince Derivation and Validation of Software Metrics. Oxford Science Publications, 1993.
E.J. Weyuker Evaluating Software Complexity Measures. IEEE Transaction of Software Engineering, 14(9):1357–1365, 1988.
Horst Zuse Foundations of Validation, Prediction and Software Measures. Proceedings of the AOSW94 (Annual Oregon Software Metric Workshop), Portland, April 20–22, 1994.
Horst Zuse Measurement theory and software measures. Formal Aspects of Measurement, Editors: T. Denvir, R. Herman, R. Whitty. Workshops in Computing, Springer Publisher, 1992.
Horst Zuse A Framework of Software Measurement. preliminary version, Oct. 96, to be published in 1997.
International Function Point Users Group (IFPUG) Function Point Counting Practices Manual. Version 4.0, 1994.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1999 Springer Fachmedien Wiesbaden
About this chapter
Cite this chapter
Jacquet, JP., Abran, A. (1999). Metrics Validation Proposals: A Structured Analysis. In: Dumke, R., Abran, A. (eds) Software Measurement. Information Engineering und IV-Controlling. Deutscher Universitätsverlag, Wiesbaden. https://doi.org/10.1007/978-3-663-08949-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-663-08949-0_3
Publisher Name: Deutscher Universitätsverlag, Wiesbaden
Print ISBN: 978-3-8244-6876-8
Online ISBN: 978-3-663-08949-0
eBook Packages: Springer Book Archive