• DocumentCode
    3333216
  • Title

    Usage of Weibull and other models for software faults prediction in AXE

  • Author

    Hribar, Lovre

  • Author_Institution
    Ericsson Nikola Tesla, Split
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    There are several families for software quality prediction techniques in development projects. All of them can be classified in several subfamilies. Each of these techniques has its own distinctive feature and it may not give correct prediction of quality for a scenario different from the one for which the technique was designed. All these techniques for software quality prediction are dispersed. One of them is statistical and probabilistic technique. The paper deals with software quality prediction techniques in development projects. Four different models based on statistical and probabilistic approach is presented and evaluated for prediction of software faults in very large development projects.
  • Keywords
    software fault tolerance; software quality; Weibull; distinctive feature; software faults prediction; software quality prediction; Aerospace industry; Artificial intelligence; Automotive engineering; Costs; Information technology; Predictive models; Software maintenance; Software performance; Software quality; Weibull distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
  • Conference_Location
    Split
  • Print_ISBN
    978-953-6114-97-9
  • Electronic_ISBN
    978-953-290-009-5
  • Type

    conf

  • DOI
    10.1109/SOFTCOM.2008.4669471
  • Filename
    4669471