EVALUATION OF SOFTWARE METRICS USING DISCRIMINANT ANALYSIS.

Volney Rodriguez, W. T. Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

The goal of the discriminant analysis and classification model for software complexity metrics is to develop a methodology to determine the robustness of several combined metrics, to offer a norm against which the measurements can be compared and to explain the information conveyed through these metrics. The model acts as an evaluator of the many metrics that have been and may be suggested in the literature and offers programmers a systematic approach to choose the ones that best fit their particular type of system, problem domain, and environment.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Computer Society's International Computer Software & Applications Conference
PublisherIEEE
Pages245-251
Number of pages7
ISBN (Print)0818608064
StatePublished - Dec 1 1987

Publication series

NameProceedings - IEEE Computer Society's International Computer Software & Applications Conference

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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  • Cite this

    Rodriguez, V., & Tsai, W. T. (1987). EVALUATION OF SOFTWARE METRICS USING DISCRIMINANT ANALYSIS. In Proceedings - IEEE Computer Society's International Computer Software & Applications Conference (pp. 245-251). (Proceedings - IEEE Computer Society's International Computer Software & Applications Conference). IEEE.