• DocumentCode
    3334219
  • Title

    On-line recovery for rediscovered software problems

  • Author

    Lee, Inhwan ; McRee, Randy ; Bartlett, Wendy

  • Author_Institution
    Tandem Comput. Inc., Cupertino, CA, USA
  • fYear
    1996
  • fDate
    4-6 Sep 1996
  • Firstpage
    78
  • Lastpage
    87
  • Abstract
    This paper discusses a method that can allow a system to avoid or recover from the exercise of certain known faults at runtime and thus make certain software upgrades unnecessary. The method uses the knowledge of the characteristic symptoms of a software fault and the appropriate recovery action for the fault to detect and recover from the future exercise of the fault. An analysis of field data shows that the method is applicable to about 25% of faults and there is a potential for this number to go up. Using the method can not only improve the availability of user applications, but can also reduce the number of rediscovered problems and hence reduce the resources required for software service
  • Keywords
    software performance evaluation; characteristic symptoms; field data; online recovery; rediscovered software problems; software fault; software service; software upgrades; Application software; Availability; Data analysis; Failure analysis; Fault detection; Kernel; Multiprocessing systems; Programming; Runtime; Software maintenance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Performance and Dependability Symposium, 1996., Proceedings of IEEE International
  • Conference_Location
    Urbana-Champaign, IL
  • ISSN
    1087-2191
  • Print_ISBN
    0-8186-7484-9
  • Type

    conf

  • DOI
    10.1109/IPDS.1996.540209
  • Filename
    540209