2014
DOI: 10.1016/j.ress.2014.04.014
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Optimal number of tests to achieve and validate product reliability

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Cited by 14 publications
(5 citation statements)
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“…Using neuronavigation transcranial magnetic stimulation (nTMS) measures of cortical excitability, inhibition, and facilitation in the primary motor cortex, Therrien-Blanchet et al (2022) [10] sought to determine the long-term stability and test-retest reliability of these data. To ensure product reliability with the fewest possible tests, Ahmed & Chateauneuf (2014) [11] suggested an optimization-based formulation that couples the expenses of product design with validation testing. Li et al (2014) [12] investigated the Micro-Electro-Mechanical Systems (MEMS) microphone's dependability using two accelerated life tests: shock impact testing and mixed flowing gas (MFG) testing.…”
Section: Testabilitymentioning
confidence: 99%
“…Using neuronavigation transcranial magnetic stimulation (nTMS) measures of cortical excitability, inhibition, and facilitation in the primary motor cortex, Therrien-Blanchet et al (2022) [10] sought to determine the long-term stability and test-retest reliability of these data. To ensure product reliability with the fewest possible tests, Ahmed & Chateauneuf (2014) [11] suggested an optimization-based formulation that couples the expenses of product design with validation testing. Li et al (2014) [12] investigated the Micro-Electro-Mechanical Systems (MEMS) microphone's dependability using two accelerated life tests: shock impact testing and mixed flowing gas (MFG) testing.…”
Section: Testabilitymentioning
confidence: 99%
“…Many works then try to optimize the test design (Luecht, 2013). In particular, optimizing the number of tests, based on costs, coupling product design costs, and validation test costs, to ensure product reliability (Ahmed and Chateauneuf, 2014). Other works deal with experimentation, and the cost of experimentation, with the idea of seeing if there are ways to minimize the costs of learning through parallel strategies (Gillier and Lenfle, 2019;Thomke, 2003).…”
Section: Existence Of Other Validation Patternsmentioning
confidence: 99%
“…Ziel ist, über die geplanten V&V-Aktivitäten alle kritischen Fehlerarten zuverlässig abzusichern. AHMED und CHATEAU-NEUF [13] bearbeiten in ihrem Beitrag die Fragestellung, welche Anzahl an Tests optimal ist, um die Zuverlässigkeit bei angemessenem Konfidenzlevel sicherzustellen. Dabei berücksichtigen sie Produktkosten, Fehlerkosten und Testing-Kosten.…”
Section: Verifizierungs-und Validierungsplanungunclassified