• DocumentCode
    913624
  • Title

    Evaluating design metrics on large-scale software

  • Author

    Zage, Wayne M. ; Zage, Dolores M.

  • Author_Institution
    Dept. of Comput. Sci., Ball State Univ., Muncie, IN, USA
  • Volume
    10
  • Issue
    4
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    75
  • Lastpage
    81
  • Abstract
    Design-quality metrics that are being developed for predicting the potential quality and complexity of the system being developed are discussed. The goal of the metrics is to provide timely design information that can guide a developer in producing a higher quality product. The metrics were tested on projects developed in a university setting with client partners in industry. To further validate the metrics, they were applied to professionally developed systems to test their predictive qualities. The results of applying two design metrics and a composite metric to data from a large-scale industrial project are presented.<>
  • Keywords
    software metrics; software quality; systems analysis; design metrics evaluation; industry; large-scale industrial project; large-scale software; predictive qualities; software quality; system complexity; Algorithm design and analysis; Design engineering; Large-scale systems; Prototypes; Software design; Stress; System testing;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/52.219620
  • Filename
    219620