Traditional software-reliability prediction methods such as reliability growth models base estimates on observing failures (and fixing faults) in validation testing, during which operational patterns represent the product?s actual field use. However, most traditional methods ignore all the quality indicators collected before system integration. A reliability-prediction method that integrates quality information from such sources as architectural system descriptions, use scenarios, system deployment diagrams, and module testing let the manager identify problem areas early and make timely organizational adjustments, if a quality improvement is necessary. This probabilistic-reliability prediction technique is applicable at the design-level, before the actual coding and system integration phases.