A Value-Driven Modeling Approach for Crossover Services

Abstract

<jats:p>In recent years, crossover services have attracted wide attention as an emerging service mode in the modern service industry. Crossover services can offer values that cannot be provided by single-domain services, and they usually need to cross the boundaries of domains, organizations, and processes, which puts forward more challenges for requirements modeling and analysis under the crossover scenarios. Given the characteristics of crossover services, the authors propose a value-driven meta-model framework from multiple viewpoints to support the requirements analysis of crossover services, which consists of three parts: a value network, a goal network, and a service network. Based on the proposed meta-model framework, a value-driven crossover service modeling tool is developed to help requirements analysts in requirements analysis and design, and a case study is presented to illustrate the usage of the proposed approach. Finally, we evaluate our methods and tools using a controlled experiment, and the experimental results show the effectiveness of the approach.</jats:p>

An ecology‐oriented convergence evolution analysis method of crossover service ecosystems

“…Liu et al modeled the interaction of value, goal, process, and service in the requirements analysis of crossover services. 35 Existing literature on services computing mainly focuses on service lifecycle management. There is no relative systematic research on crossover service convergence, as well as engineering approach and service carrier.…”

“…A previous work proposed a value-driven modeling approach to support the requirements elicitation and analysis of crossover services. 35 The proposed meta-model is used to model crossover services by using value network, goal network, and service network through demonstrate the relationships among roles, goals, resources, and so on. On this basis, we investigate the service convergence evolution pattern under the meta-model framework.…”

“…They also built a prototype platform and verified the effectiveness of CoSM in a real case. Liu et al modeled the interaction of value, goal, process, and service in the requirements analysis of crossover services 35 …”

“…Despite the concentration on value realization, requirement analysis, and model merging of crossover services, there is no relatively mature theory, and scant research has been conducted in the domain of evolutionary dynamics within crossover service ecosystems. Drawing inspiration from the synergistic models presented by Liu et al 35 and the application of ecological theory to service ecosystems evolution analysis, our main focus in this paper is to explore a value‐driven, ecologically oriented, multilevel collaborative evolution approach for crossover service ecosystems.…”