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Outputs (3)

Survival Signatures for System Reliability (2021)
Book Chapter
Coolen, F. P., & Coolen‐Maturi, T. (2022). Survival Signatures for System Reliability. In Wiley StatsRef: Statistics Reference Online. Wiley. https://doi.org/10.1002/9781118445112.stat08331

In system reliability, the structure function models functioning of a system for given states of its components. The survival signature provides a useful summary of the structure function to aid quantification of system reliability with components of... Read More about Survival Signatures for System Reliability.

The survival signature for quantifying system reliability: an introductory overview from practical perspective (2021)
Book Chapter
Coolen, F., & Coolen-Maturi, T. (2021). The survival signature for quantifying system reliability: an introductory overview from practical perspective. In C. van Gulijk, & E. Zaitseva (Eds.), Reliability Engineering and Computational Intelligence (23-37). Springer Verlag. https://doi.org/10.1007/978-3-030-74556-1_2

The structure function describes the functioning of a system dependent on the states of its components, and is central to theory of system reliability. The survival signature is a summary of the structure function which is sufficient to derive the sy... Read More about The survival signature for quantifying system reliability: an introductory overview from practical perspective.

Bayesian graphical models for high complexity testing: aspects of implementation (2018)
Book Chapter
Wooff, D., Goldstein, M., & Coolen, F. (2018). Bayesian graphical models for high complexity testing: aspects of implementation. In R. Kenett, F. Ruggeri, & F. Faltin (Eds.), Analytic methods in systems and software testing (213-243). Wiley. https://doi.org/10.1002/9781119357056.ch8

This chapter presents a brief review of the Bayesian graphical models (BGM) approach to software testing, which the authors developed in close collaboration with industrial software testers. It provides discussion of a range of topics for practical i... Read More about Bayesian graphical models for high complexity testing: aspects of implementation.