Methodology For Validating Software Metrics
Schneidewind, Norman F.
MetadataShow full item record
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.
Showing items related by title, author, creator and subject.
Romero, James S. (Monterey, California. Naval Postgraduate School, 1998-06);Software development efforts have become the highest-risk element of modern program management. One way that we can mitigate this risk is through the use of metrics. Software metrics can give us insight about the progress, ...
Total quality management: an analysis and evaluation of the effectiveness of performance metrics for ACAT III programs of record Higginbotham, Jayne Marie (Monterey, California: Naval Postgraduate School, 2014-09);This project studies the metrics of a sample United States Army Aviation Acquisition Category (ACAT) III program. This program reports weekly metrics across the functional areas of logistics, business, and technology ...
Warburton, Kenneth M. (Monterey, California. Naval Postgraduate School, 1994-03);In today's DoD software environment, where systems of enormous size, complexity and cost are the norm, economic conditions are driving DoD system developers to seek ways to increase productivity while decreasing product ...