Validating Software Metrics

Abstract

We propose a comprehensive metrics validation methodology that has six validation criteria, each of which supports certain quality functions. New criteria are defined and illustrated, including consistency, discriminative power, tracking and repeatability. We show that non-parametric statistical methods play an important role in evaluating metrics against the validity criteria. A detailed example of the application of methodology is presented.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1990
Accession Number
ADA230309

Entities

People

  • Norman F. Schneidewind

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Chi Square Test
  • Correlation Analysis
  • Data Science
  • Databases
  • Discriminant Analysis
  • Factor Analysis
  • Goodness Of Fit Tests
  • Information Processing
  • Information Science
  • Knowledge Management
  • Probability
  • Quality Control
  • Random Variables
  • Regression Analysis
  • Software Development
  • Statistical Analysis
  • Statistical Tests

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Psychometric Testing or Psychological Assessment.