A conservative confidence bound for the probability of failure on demand of a software-based system based on failure-free tests of its components

Bishop, Peter; Povyakalo, Andrey

doi:10.1016/j.ress.2020.107060

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In addition to accuracy, parameters include other variables such as low load stability, high load stability, maximum load accuracy, overload behavior, and others. In the process of searching for these properties an internal terminology of parameters and phenomena is proposed for the description, representation, and evaluation of the calibration with detailed output [Bishop 2020].…”

Section: Methodsmentioning

confidence: 99%

Research and Diagnostics for the Laboratory of Pressure Resistant Sensors

Zelnik¹,

Kamenszka²,

Bozek³

2021

MM SJ

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The use of the sensors shortens the service life, wears out and reduces their accuracy due to operation. For sensors with a susceptibility to inaccuracy, it is possible to create a sensor-device-software diagnostic set. Such a scheme of configuration should be able to provide autonomic diagnostic, calibration, evaluation and also recalibration of the sensor. The diagnostic equipment could also have a shock test function in order to intentionally and faster reduce the service life and thus test the correctly set parameters of the diagnostic algorithm in laboratory conditions. The diagnostic device is a specialized technical system that provides conditions for the future potential of the testing development, knowledge and experience. According to the design, it can be modularly enriched with new parts, fixtures and systems to provide a more diverse range of options. There would be space for exploring the possibilities of new types of sensors, their comparison, as well as full-fledged automation of the complex diagnostic process.

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Section: Methodsmentioning

confidence: 99%

Research and Diagnostics for the Laboratory of Pressure Resistant Sensors

Zelnik¹,

Kamenszka²,

Bozek³

2021

MM SJ

View full text Add to dashboard Cite

show abstract

“…In a recently published paper [22] Bishop and Povyakalo offer a method for estimating the probability of failure on demand of a software system built with components from testing the system and offer a conservative method of assessing the confidence in this probability. The method uses the "structure function" defined for the system under study and assumes that none of the software components fails in testing.…”

Section: Related Researchmentioning

confidence: 99%