• DocumentCode
    65034
  • Title

    Validating Software Reliability Early through Statistical Model Checking

  • Author

    Kim, Youngjoo ; Choi, Okjoo ; Kim, Moonzoo ; Baik, Jongmoon ; Kim, Tai-Hyo

  • Author_Institution
    S-Core
  • Volume
    30
  • Issue
    3
  • fYear
    2013
  • fDate
    May-June 2013
  • Firstpage
    35
  • Lastpage
    41
  • Abstract
    Conventional software reliability assessment validates a system´s reliability only at the end of development, resulting in costly defect correction. A proposed framework employs statistical model checking (SMC) to validate reliability at an early stage. SMC computes the probability that a target system will satisfy functional-safety requirements. The framework compares the allocated reliability goal with the calculated reliability using the probabilities and relative weight values for the functional-safety requirements. Early validation can prevent the propagation of reliability allocation errors and design errors at later stages, thereby achieving safer, cheaper, and faster development of safety-critical systems.
  • Keywords
    Mathematical model; Probability; Safety; Software reliability; Statistical analysis; Validation; safety engineering; safety-critical software; software reliability validation; statistical model checking;
  • fLanguage
    English
  • Journal_Title
    Software, IEEE
  • Publisher
    ieee
  • ISSN
    0740-7459
  • Type

    jour

  • DOI
    10.1109/MS.2013.24
  • Filename
    6468034