When to Stop Development Testing: An Infrequently Used Stopping Rule Revisited

Donovan, John J.; Murphy, Eamonn

doi:10.1080/08982110108918664

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…The stopping rule advocates a minimum test time (T min ) to avoid terminating the test too early. This minimum test time, shown in Equation (3), was developed by Donovan and Murphy 23 .…”

Section: The Statistical Stopping Rulementioning

confidence: 99%

Total System Reliability: Integrated Model for Growth and Test Termination

Donovan

Murphy

2005

Qual. Reliab. Engng. Int.

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Reliability demonstration testing is not the most efficient method of assuring product reliability prior to shipment. It is costly, time consuming and has inherent technical and social limitations. The dilemma facing the reliability and quality engineer is whether to continue demonstration testing and risk shipping a product late or ship the product and risk warranty and field service returns. Either option can cause the company to lose significant market share and profit. This paper sets out to solve this dilemma by meeting both the time to market constraints and the product reliability goals. The weaknesses of existing reliability demonstration techniques are explored and a comprehensive methodology is introduced involving controlled development processes, stress testing, root cause determination and process change feedback mechanisms. All prototype products are manufactured on the final volume process line resulting in the early identification and correction of processrelated problems. Testing commences on the first available prototypes with system stress/robust testing being employed to stimulate failures, determine their root cause and correct them. Reliability growth modelling assesses the ongoing improvements occurring in reliability during the development cycle, while a statistical stopping rule is used to determine the optimal product release time without risking product warranty. The approach is applicable to systems incorporating both hardware and software elements. The methodology has been validated on three development projects of telecommunication systems comprising hardware and software. In addition to enhancing team behaviour and performance, the development times have been reduced by 14% and the ramp-up time to full worldwide product shipments has been reduced by 50%.

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“…The stopping rule advocates a minimum test time (T min ) to avoid terminating the test too early. This minimum test time, shown in Equation (3), was developed by Donovan and Murphy 23 .…”

Section: The Statistical Stopping Rulementioning

confidence: 99%

Total System Reliability: Integrated Model for Growth and Test Termination

Donovan

Murphy

2005

Qual. Reliab. Engng. Int.

Self Cite

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Development programs for one‐shot systems using multiple‐state design reliability models

Shevasuthisilp

Vardeman

2004

Naval Research Logistics

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Design reliability at the beginning of a product development program is typically low, and development costs can account for a large proportion of total product cost. We consider how to conduct development programs (series of tests and redesigns) for one-shot systems (which are destroyed at first use or during testing). In rough terms, our aim is to both achieve high final design reliability and spend as little of a fixed budget as possible on development. We employ multiple-state reliability models. Dynamic programming is used to identify a best test-and-redesign strategy and is shown to be presently computationally feasible for at least 5-state models. Our analysis is flexible enough to allow for the accelerated stress testing needed in the case of ultra-high reliability requirements, where testing otherwise provides little information on design reliability change.

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When to Stop Development Testing: An Infrequently Used Stopping Rule Revisited

Cited by 2 publications

References 6 publications

Total System Reliability: Integrated Model for Growth and Test Termination

Total System Reliability: Integrated Model for Growth and Test Termination

Development programs for one‐shot systems using multiple‐state design reliability models

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