• DocumentCode
    1970012
  • Title

    A model based on software quality factors which predicts maintainability

  • Author

    Wake, Steve ; Henry, Sallie

  • Author_Institution
    Dept. of Comput. Sci., Virginia Tech., Blacksburg, VA, USA
  • fYear
    1988
  • fDate
    24-27 Oct 1988
  • Firstpage
    382
  • Lastpage
    387
  • Abstract
    Software quality metric were developed to measure the complexity of software systems. The authors relate the complexity of the system as measured by software metrics to the amount of maintenance necessary to that system. The authors have developed a model which uses several software quality metrics as parameters to predict maintenance activity. A description is given of three classifications of metrics that are used to measure the quality of source code: code metrics, which measure physical characteristics of the software, such as length or number of tokens; structure metrics, which measure the connectivity of the software, such as the flow of information through the program and flow of control; and hybrid metrics, which are a combination of code and structure metrics
  • Keywords
    software engineering; software reliability; code metrics; complexity; connectivity; flow of control; flow of information; hybrid metrics; maintainability; physical characteristics; software metrics; software quality factors; structure metrics; tokens; Computer science; Costs; Error correction; Life estimation; Predictive models; Software maintenance; Software measurement; Software metrics; Software quality; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance, 1988., Proceedings of the Conference on
  • Conference_Location
    Scottsdale, AZ
  • Print_ISBN
    0-8186-0879-X
  • Type

    conf

  • DOI
    10.1109/ICSM.1988.10191
  • Filename
    10191