A method of value model convergence and profit optimization for crossover services

Value models have been employed in value-based requirements engineering (RE) to express value exchange relations between stakeholders. The value chain of crossover services spans multiple domains, so it is necessary to converge the value models of multiple domains when conducting requirements analysis. Existing value modeling methods, however, mostly focus on describing the value transmission relations in a single domain and have their limitations in coping with complex value models convergence analysis of multiple domains in crossover scenarios. After the convergence of value models, the value exchange relations between stakeholders has changed. How to make crossover services providers earn maximum profit is also omitted in these methods. In this study, we proposed a value model convergence method and a profit optimization method with consideration of meeting the value proposals of all stakeholders for crossover services value network models convergence analysis. We use an experimental application to illustrate the capabilities and efficiency of the proposed value models convergence method. Furthermore, we compare the performance of the proposed method with other methods in completing profit optimization tasks. The experimental results demonstrate that the proposed method has better performance and efficiency than alternative methods.