A Value-Driven Modeling Approach for Crossover Services

Author:

Liu Zhengli1,Li Bing1,Wang Jian1,Qiao Yu1

Affiliation:

1. School of Computer Science, Wuhan University, China

Abstract

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.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems,Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An ecology‐oriented convergence evolution analysis method of crossover service ecosystems;Journal of Software: Evolution and Process;2023-12-14

2. Goal model convergence and conflict detection for crossover services;Journal of Systems and Software;2023-05

3. Crossover Service Requirements: Analysis and Design;Advanced Topics in Science and Technology in China;2023

4. A method of value model convergence and profit optimization for crossover services;Journal of King Saud University - Computer and Information Sciences;2022-11

5. Combining i* and Service Blueprint for Service design:a case study of Fliggy;2022 3rd International Conference on Computer Science and Management Technology (ICCSMT);2022-11

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