Issue No. 05 - May (1992 vol. 18)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/32.135774
<p>A comprehensive metrics validation methodology is proposed 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. The author shows that nonparametric statistical methods such as contingency tables play an important role inevaluating 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.</p>
software metrics; comprehensive metrics validation methodology; validity criteria; quality functions; software organizations; project quality goals; discriminative power; tracking; predictability; repeatability; nonparametric statistical methods; contingency tables; discriminative power validity criterion; metrics validation process; program verification; quality control; software metrics; software reliability
N. Schneidewind, "Methodology for Validating Software Metrics," in IEEE Transactions on Software Engineering, vol. 18, no. , pp. 410-422, 1992.