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Customer-Perceived Software Reliability Predictions: Beyond Defect Prediction Models

In: Stochastic Reliability and Maintenance Modeling

Author

Listed:
  • Kazu Okumoto

    (Alcatel-Lucent Technologies)

Abstract

In this chapter, we propose a procedure for implementing customer-perceived software reliability predictions, which address customer’s concern about service-impacting outages and system stability. Data requirements are clearly defined in terms of test defects and field outages to ensure a good data collection process. We incorporate the effect of operational profile to demonstrate the changes in defect find rate from internal tests through precutover test and in-service operation. A software reliability growth model is a necessary key step, but not sufficient for addressing customer-perceived reliability measures. The proposed approach is a result of in-depth investigations of test defect data and field outage data over many years. It has been successfully demonstrated with actual field data and applied to a variety of software development projects.

Suggested Citation

  • Kazu Okumoto, 2013. "Customer-Perceived Software Reliability Predictions: Beyond Defect Prediction Models," Springer Series in Reliability Engineering, in: Tadashi Dohi & Toshio Nakagawa (ed.), Stochastic Reliability and Maintenance Modeling, edition 127, pages 219-249, Springer.
    • Handle: RePEc:spr:ssrchp:978-1-4471-4971-2_11
    DOI: 10.1007/978-1-4471-4971-2_11
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