• DocumentCode
    3500992
  • Title

    Dynamic system complexity

  • Author

    Khoshgoftaar, Taghi M. ; Munson, John C. ; Lanning, David L.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    1993
  • fDate
    21-22 May 1993
  • Firstpage
    129
  • Lastpage
    140
  • Abstract
    Both operational environment and source code complexity influence the reliability of software systems. The complex modules of software systems often contain a disproportionate number of faults. However, if in a given environment, the complex modules are rarely exercised, then few of these faults are likely to become expressed as failures. Different environments will exercise a system´s modules differently. A system´s dynamic complexity is high in an environment that exercises the system´s complex modules with high probability. It is likely that one or more potential scenarios induce inordinately large dynamic complexity. Identifying these scenarios is the first step in assuring that they receive the testing time that they warrant. The paper presents two metrics which evaluate the dynamic complexity of systems and of subsystems in the intended operational environment. The authors´ analyze two software systems using both dynamic metrics
  • Keywords
    program testing; software metrics; software reliability; dynamic complexity; dynamic metrics; operational environment; reliability; software project managers; source code complexity; testing time; Computer science; Costs; Debugging; Environmental management; Project management; Reliability engineering; Software reliability; Software systems; Software testing; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Metrics Symposium, 1993. Proceedings., First International
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-8186-3740-4
  • Type

    conf

  • DOI
    10.1109/METRIC.1993.263793
  • Filename
    263793