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Open Access research with a European policy impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by Strathclyde researchers, including by researchers from the European Policies Research Centre (EPRC).

EPRC is a leading institute in Europe for comparative research on public policy, with a particular focus on regional development policies. Spanning 30 European countries, EPRC research programmes have a strong emphasis on applied research and knowledge exchange, including the provision of policy advice to EU institutions and national and sub-national government authorities throughout Europe.

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Measuring the effectiveness of reliability growth testing

Quigley, J.L. and Walls, L.A. (1999) Measuring the effectiveness of reliability growth testing. Quality and Reliability Engineering International, 15 (2). pp. 87-93. ISSN 0748-8017

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Assessing the effectiveness of reliability growth testing allows decisions to be made about the management of the programme; for example, decisions to allocate resources in an attempt to realize improvements in system reliability, or decisions to terminate testing when there is evidence that reliability has matured. However, such assessments are commonly based on measures of change in the average time between failures, which do not always provide informative measures of effectiveness. We argue that a more appropriate approach is to focus on the identification and realization of faults, which if removed are likely to lead to the improvement in system reliability. Therefore we introduce a model that incorporates the concerns of engineering experts about the likely faults in the initial system design with the information about faults that are realized on test. This model distinguishes between the processes of detecting and removing faults and so captures the effectiveness of test as well as the development of the system design. Using this model, the likely number of faults remaining in the system and the additional test time required to realize them can be estimated. This model was motivated by and assessed by engineers conducting growth tests for complex electronic systems. They consider our measures useful for supporting assessment of test effectiveness.