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Computing

, Volume 100, Issue 4, pp 353–368 | Cite as

A new paradigm of software service engineering in big data and big service era

  • Xiaofei Xu
  • Gianmario Motta
  • Zhiying Tu
  • Hanchuan Xu
  • Zhongjie Wang
  • Xianzhi Wang
Article

Abstract

In the big data era, servitization becomes one of the important development trends of the IT world. More and more software resources are developed and existed in the format as services on the Internet. These services from multi-domains and multi-networks are converged as a huge complicated service network or ecosystem, which can be called as Big Service. How to reuse the abundant open service resources to rapidly develop the new applications or comprehensive service solutions to meet massive individualized customer requirements is a key issue in the big data and big service ecosystem. Based on analyzing the ecosystem of big service, this paper presents a new paradigm of software service engineering, Requirement-Engineering Two-Phase of Service Engineering Paradigm (RE2SEP), which includes service oriented requirement engineering, domain oriented service engineering, and the development approach of software services. By means of the RE2SEP approach, the adaptive service solutions can be efficiently designed and implemented to match the requirement propositions of massive individualized customers in Big Service ecosystem. A case study of the RE2SEP applications, which is a project on citizens mobility service in smart city environment, is also given in this paper. The RE2SEP paradigm will change the way of traditional life-cycle oriented software engineering, and lead a new approach of software service engineering.

Keywords

Software service engineering Big service Software reuse Requirement pattern Service pattern 

Mathematics Subject Classification

68N01 

Notes

Acknowledgements

Research work in this paper is supported by the Natural Science Foundation of China (Nos. 61272187, 61472106) and the Science and Technology Major Project of ShanDong Province (No. 2015ZDXX0201B02).

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • Xiaofei Xu
    • 1
  • Gianmario Motta
    • 2
  • Zhiying Tu
    • 1
  • Hanchuan Xu
    • 1
  • Zhongjie Wang
    • 1
  • Xianzhi Wang
    • 1
  1. 1.Harbin Institute of TechnologyHarbinChina
  2. 2.University of PaviaPaviaItaly

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