Space vehicle schedule and cost reduction strategies tend to focus on test optimization without a comprehensive analytical approach to the impact on mission success. This study provides valuable stochastic insights into orbital physics of failure while identifying potential relationships to ground integration and test processes by analyzing data across a large population of space vehicle programs. Failure data analysis uses reliability growth modeling techniques to provide greater insight into environmental test effectiveness. Results show correlations between orbital failures, environmental test, hardware retest, and hardware categories. Test strategies are discussed to mitigate risk of orbital failures for hardware subjected to varying degrees of retest and late integration.

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