• DocumentCode
    1604446
  • Title

    M-elopee: a CASE tool for software reliability study

  • Author

    Vallee, Frédérique ; Gayet, Bertrand ; Derriennic, Henri ; Gall, Gilbert Le

  • Author_Institution
    Mathix, Paris, France
  • fYear
    1995
  • Firstpage
    381
  • Lastpage
    386
  • Abstract
    To support software project managers for reliability evaluation, the company Mathix and the French telecommunications agency (France Telecom) have developed a CASE tool named M-elopee. The purpose of this tool is not only to provide some reliability growth model computations but, more generally, to propose an approach to do reliability studies, and therefore to offer all the features needed to undertake this approach. M-elopee typically promotes the transfer of software reliability technology to practice. Therefore it runs on PCs under Windows and benefits from the many facilities of this environment. This article describes the functionalites provided by M-elopee and its underlying methodology. Mainly, the following points are developed: the content and structure of the data processed by M-elopee; data processing; trend analysis; comparison of models; and the maximum number of failures to forecast
  • Keywords
    computer aided software engineering; microcomputer applications; software reliability; software tools; CASE tool; M-elopee; Microsoft Windows; data content; data processing; data structure; failure forecasting; models comparison; personal computers; reliability growth model computations; software project managers; software reliability evaluation; trend analysis; Computational modeling; Computer aided software engineering; Data analysis; Data processing; Personal communication networks; Project management; Software development management; Software reliability; Software tools; Telecommunication computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Reliability Engineering, 1995. Proceedings., Sixth International Symposium on
  • Conference_Location
    Toulouse
  • ISSN
    1071-9458
  • Print_ISBN
    0-8186-7131-9
  • Type

    conf

  • DOI
    10.1109/ISSRE.1995.497681
  • Filename
    497681