• DocumentCode
    3141742
  • Title

    Automated diagnosis of software configuration errors

  • Author

    Sai Zhang ; Ernst, Michael D.

  • Author_Institution
    Comput. Sci. & Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2013
  • fDate
    18-26 May 2013
  • Firstpage
    312
  • Lastpage
    321
  • Abstract
    The behavior of a software system often depends on how that system is configured. Small configuration errors can lead to hard-to-diagnose undesired behaviors. We present a technique (and its tool implementation, called ConfDiagnoser) to identify the root cause of a configuration error - a single configuration option that can be changed to produce desired behavior. Our technique uses static analysis, dynamic profiling, and statistical analysis to link the undesired behavior to specific configuration options. It differs from existing approaches in two key aspects: it does not require users to provide a testing oracle (to check whether the software functions correctly) and thus is fully automated; and it can diagnose both crashing and non-crashing errors. We evaluated ConfDiagnoser on 5 non-crashing configuration errors and 9 crashing configuration errors from 5 configurable software systems written in Java. On average, the root cause was ConfDiagnoser´s fifth-ranked suggestion; in 10 out of 14 errors, the root cause was one of the top 3 suggestions; and more than half of the time, the root cause was the first suggestion.
  • Keywords
    Java; configuration management; program diagnostics; statistical analysis; ConfDiagnoser; Java; configurable software system; configuration error identification; dynamic profiling; noncrashing configuration errors; software configuration error diagnosis; static analysis; statistical analysis; Computer crashes; Databases; Debugging; Instruments; Java; Libraries; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering (ICSE), 2013 35th International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4673-3073-2
  • Type

    conf

  • DOI
    10.1109/ICSE.2013.6606577
  • Filename
    6606577