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Due to consider the deficiency of the dynamic software evolution in the current demand engineering stage, this paper goes through the change demand forecasting and the sensitivity analysis based on the relationship between software runtime variability and change process, to establish the double drive model for SaaS software dynamic evolution. To solve the verification problem of facing the dynamic evolution, this paper is the establishment of supporting theoretical basis and verification method, to produce the software dynamic evolution process of EPMM modeling. From the perspective of process algebra, this paper describes the software process, but also the use of communication process algebra (ACP) extends on EPMM. Through more scientific decision-making improvement software process, we can obtain better software quality, faster development evolution efficiency, better risk control and more revenue. Using the sensitivity analysis results, we can determine whether to adopt the software process change, and change sensitivity analysis results can be as the software process of organization planning, improvement implementation and improvement tracking, which does beneficial supplement for the theoretical study of the existing requirements engineering.

The Verification Analysis of the Software Dynamic Evolution Topology Structure Model Based on Demand and Runtime Variability Parallel Driver under the Background of Large Data