Prototype hardware is key to testing for reliability growth.

In general, reliability growth is the result of an iterative design, build, test, analyze, and fix process.

Lots of data about reliability growth model is available with probability models claiming to represent failure process.

Using this data, the reliability growth model can evaluate the reliability of software.

In the assessment and prediction of software reliability, we use the reliability growth model.

A re-baselined Terrier programme is on track with reliability growth trials contracted for early 2010.

During operation of the software, any data about its failure is stored in statistical form and is given as input to the reliability growth model.

The Challenger 2 successfully completed its Reliability Growth Trial in 1994.

Reliability growth testing provides visibility over how reliability is improving and uncovers design problems so fixes can be incorporated before production begins.

This information marks the starting point for the product's reliability growth plan and is the basis for assessing whether the plan is achievable by production.

"Cost-Benefit Modelling for Reliability Growth."

Set reliability growth plan and goals - A product's reliability is its ability to perform over an expected period of time without failure, degradation, or need of repair.

A growth plan is developed to mature the product's reliability over time through reliability growth testing so that it has been demonstrated by the time production begins.

The ATIRCM/CMWS program did not begin reliability growth testing until 4 years after its critical design review, leaving only 1 year to test the system prior to scheduled production.

About one-third of the way through the reliability growth test program, testing was halted because too many failures occurred in components such as the power supply, the high voltage electrical system, and the cooling system.

Common FRACAS outputs may include: Field MTBF, MTBR, MTTR, spares consumption, reliability growth, failure/incidents distribution by type, location, part no., serial no, symptom, etc.

Some of the common outputs from a FRACAS system includes: Field MTBF, MTTR, Spares Consumption, Reliability Growth, Failure/Incidents distribution by type, location, part no., serial no, symptom etc.