Methodology For Validating Software Metrics
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Authors
Schneidewind, Norman F.
Subjects
Metrics validation methodology
metrics validation process
nonparametric statistical methods
quality functions
validity criteria
metrics validation process
nonparametric statistical methods
quality functions
validity criteria
Advisors
Date of Issue
1992-05
Date
May 1992
Publisher
Language
Abstract
We propose a comprehensive metrics validation
methodology that has six validity criteria, which support the quality
functions assessment, control, and prediction, where quality
functions are activities conducted by software organizations for
the purpose of achieving project quality goals. Six criteria are
defined and illustrated: association, consistency, discriminative
power, tracking, predictability, and repeatability. We show that
nonparametric statistical methods such as contingency tables
play an important role in evaluating metrics against the validity
criteria. Examples emphasizing the discriminative power validity
criterion are presented. A metrics validation process is defined
that integrates quality factors, metrics, and quality functions.
Type
Article
Description
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Sponsors
This work was supported by the Naval Surface Warfare Center, and by the Army Operational Test and Evaluation Center.
Funder
Format
Citation
IEEE Transactions on Software Engineering, Vol. 18, No. 5, May 1992.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.