This study investigates both the trade-offs among system reliability improvement, resource consumption, and other relevant constraints, and the application of statistical control methods to monitor variations. A process for reliability-related quality programming is developed to fill existing gaps in software design and development so that a quality programming plan can be achieved. A software reliability-to-cost relation is developed both from a software reliability-related cost model and software redundancy models with common-cause failures. The software reliability optimization problem will be formulated into a mixed-integer programming problem and solved by a branch-and-bound technique;A procedure will be developed to identify, define, develop, and demonstrate a quality performance measure to improve system operation that is based on statistical control methods. Despite the most painful effort to control product quality, variation in product quality is unavoidable. Though the use of process control techniques, such as statistical control chart, unusual variations in the software development process can be controlled and reduced.