Crossover Service: Deep Convergence for Pattern, Ecosystem, Environment, Quality and Value

Yin, Jianwei; Zheng, Bangpeng; Deng, Shuiguang; Wen, Yingying; Xi, Meng; Luo, Zhiling; Liu, Ying

doi:10.1109/icdcs.2018.00124

Cited by 23 publications

(10 citation statements)

References 6 publications

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“…As a new emerging industry, only a few literatures focus on RE of crossover services [7,8], and these studies only provide some methods to model requirements without making an in-depth analysis of industry needs. Therefore, one of the main purposes of our study is to explore real challenges and difficulties faced by the crossover service industry in the requirements analysis process, which can provide new research directions for researchers and guidelines for developers of RE tools.…”

Section: Motivationsmentioning

confidence: 99%

“…However, current work mainly focuses on how to describe value exchange between stakeholders in a service ecosystem. In contrast, only a few works pay attention to value convergence [22,23], a challenging topic in the crossover service convergence process [8]. An objective of our research is hence to elicit the actual needs of the crossover services industry related to the support for realizing value convergence.…”

Section: Support For Value Convergencementioning

confidence: 99%

“…Yin et al stated that it is difficult to satisfy the requirements of all stakeholders in a crossover service ecosystem [8]. Babalou et al proposed a method that allows users to prefer the most important merging requirements for their specific task and then determines the maximal compatible subset of merge requirements [49].…”

Section: Support For Requirements Convergencementioning

confidence: 99%

“…However, in industry, these modeling methods have not been widely adopted. Some studies have pointed out that value convergence is an important aspect of crossover service [8]. Crossover services often span multiple business domains, multiple organizations, multiple regions, or even multiple countries.…”

Section: Motivationsmentioning

confidence: 99%

“…However, in industry, these modeling methods have not been widely adopted. Some studies have pointed out that value convergence is an important aspect of crossover service [8]. In industry, value modeling of crossover services not only needs to model the value network formed by stakeholders of different domains but also needs to deeply converge value models of different domains to get the final unified value model.…”

Section: Motivationsmentioning

confidence: 99%

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Requirements engineering for crossover services: Issues, challenges and research directions

Liu

Wang

et al. 2020

IET Software

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Crossover services involve deep convergence of services in different domains. Requirements analysis of crossover services often requires the collaboration of engineers in different domains and various organizations. The industry has a demand for sophisticated requirements engineering (RE) methods to address challenges brought by crossover and convergence. However, many methods proposed by researchers have not been widely used in the industry, and the reason is that these methods provide technological solutions to the problems and challenges that may not be considered accurate or even real by practitioners in the crossover services industry. A great effort is needed to explore what needs, expectations, and constraints that RE approaches must satisfy and promote the adoption of novel RE approaches in the crossover services industry. The authors have conducted an industrial study to gain an in-depth understanding of practitioners' needs concerning RE research and method development. The study involved qualitative interviews as well as questionnaires to collect data. The objective of this study is to investigate issues, challenges, and practices of crossover services RE from practitioners' perspectives and to reveal potential guidelines for researchers and tools developers. Findings from five aspects of RE methods are reported and some research directions for future crossover services RE research are provided.Despite the advantages of crossover services, enterprises still face huge challenges when migrating to crossover services. Crossover services involve the coordination of multipleThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Section: Motivationsmentioning

confidence: 99%

Section: Support For Value Convergencementioning

confidence: 99%

Section: Support For Requirements Convergencementioning

confidence: 99%

Section: Motivationsmentioning

confidence: 99%

“…However, in industry, these modeling methods have not been widely adopted. Some studies have pointed out that value convergence is an important aspect of crossover service [8]. In industry, value modeling of crossover services not only needs to model the value network formed by stakeholders of different domains but also needs to deeply converge value models of different domains to get the final unified value model.…”

Section: Motivationsmentioning

confidence: 99%

See 3 more Smart Citations

Requirements engineering for crossover services: Issues, challenges and research directions

Liu

Wang

et al. 2020

IET Software

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

Qiao,

Wang,

Liu

et al. 2023

J Software Evolu Process

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The phenomenon of crossover cooperation and convergence among services has gained increasing attention in the modern service industry. Service boundaries have been expansively stretched into other domains rather than limited to their original domains to achieve value creation, fostering the emergence of crossover services. Consequently, a complex service ecosystem takes shape. However, there is a lack of the convergence‐evolution mechanism of crossover services for the adaptive transformation of service providers' businesses in this context. To address this problem, this paper proposes population‐based and community‐based convergence‐evolution patterns from the ecological perspective. Based on the analysis of these evolution patterns and the driven force of service evolution, we propose an ecology‐oriented evolution analysis method. Furthermore, we devise an automated tool to support the evolution design of crossover service ecosystems. Case studies and evaluation experiments show the feasibility and effectiveness of our proposed method and the corresponding tool.

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SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement

Gao

Feng

Chen

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Crossover Service: Deep Convergence for Pattern, Ecosystem, Environment, Quality and Value

Cited by 23 publications

References 6 publications

Requirements engineering for crossover services: Issues, challenges and research directions

Requirements engineering for crossover services: Issues, challenges and research directions

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

SETE: A Trans-Boundary Evolution Model of Service Ecosystem Based on Diversity Measurement

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