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Reliability assessment of service-based software under operational profile uncertainty

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  • Pietrantuono, Roberto
  • Popov, Peter
  • Russo, Stefano

Abstract

We address the problem of operational reliability assessment through testing of software services delivered on-demand such as Web Services. Software reliability assessment is typically done for a specific operational profile: the profile is needed in testing to select or generate test cases (operational testing) in a way statistically similar to the anticipated use of software in operation; the observations of success/failure of test executions are used to predict software reliability in actual operation. It is well known that unless the profile is accurate, software reliability predictions obtained via operational testing cannot be trusted.

Suggested Citation

  • Pietrantuono, Roberto & Popov, Peter & Russo, Stefano, 2020. "Reliability assessment of service-based software under operational profile uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    • Handle: RePEc:eee:reensy:v:204:y:2020:i:c:s0951832020306943
    DOI: 10.1016/j.ress.2020.107193
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    References listed on IDEAS

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    1. Vanslette, Kevin & Tohme, Tony & Youcef-Toumi, Kamal, 2020. "A general model validation and testing tool," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
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    4. Følstad, Eirik L. & Helvik, Bjarne E., 2016. "The cost for meeting SLA dependability requirements; implications for customers and providers," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 136-146.
    5. Bosse, Sascha & Splieth, Matthias & Turowski, Klaus, 2016. "Multi-objective optimization of IT service availability and costs," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 142-155.
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    Cited by:

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    2. Li, Xinhong & Jia, Ruichao & Zhang, Renren & Yang, Shangyu & Chen, Guoming, 2022. "A KPCA-BRANN based data-driven approach to model corrosion degradation of subsea oil pipelines," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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