Automated Diagnosis of Software Configuration Errors.

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Bibliographic Details
Title: Automated Diagnosis of Software Configuration Errors.
Authors: Sai Zhang1 szhang@cs.washington.edu, Ernst, Michael D.1 mernst@cs.washington.edu
Source: ICSE: International Conference on Software Engineering. Feb2013, p312-321. 10p.
Subjects: Software configuration management, Java programming language, Computer software testing, Software failures, Software architecture
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 noncrashing 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. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Automated Diagnosis of Software Configuration Errors.
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  Data: <searchLink fieldCode="AR" term="%22Sai+Zhang%22">Sai Zhang</searchLink><relatesTo>1</relatesTo><i> szhang@cs.washington.edu</i><br /><searchLink fieldCode="AR" term="%22Ernst%2C+Michael+D%2E%22">Ernst, Michael D.</searchLink><relatesTo>1</relatesTo><i> mernst@cs.washington.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22ICSE%3A+International+Conference+on+Software+Engineering%22">ICSE: International Conference on Software Engineering</searchLink>. Feb2013, p312-321. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Software+configuration+management%22">Software configuration management</searchLink><br /><searchLink fieldCode="DE" term="%22Java+programming+language%22">Java programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Software+failures%22">Software failures</searchLink><br /><searchLink fieldCode="DE" term="%22Software+architecture%22">Software architecture</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: 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 noncrashing 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 312
    Subjects:
      – SubjectFull: Software configuration management
        Type: general
      – SubjectFull: Java programming language
        Type: general
      – SubjectFull: Computer software testing
        Type: general
      – SubjectFull: Software failures
        Type: general
      – SubjectFull: Software architecture
        Type: general
    Titles:
      – TitleFull: Automated Diagnosis of Software Configuration Errors.
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            NameFull: Sai Zhang
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            NameFull: Ernst, Michael D.
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            – D: 01
              M: 02
              Text: Feb2013
              Type: published
              Y: 2013
          Titles:
            – TitleFull: ICSE: International Conference on Software Engineering
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