YANG Rong, LI Bing, WANG Jian, LI Zengyang, HU Yan. Reusing Service Process Fragments with a Consensus Between Service Providers and Users[J]. Chinese Journal of Electronics, 2016, 25(4): 648-657. doi: 10.1049/cje.2016.07.003
Citation: YANG Rong, LI Bing, WANG Jian, LI Zengyang, HU Yan. Reusing Service Process Fragments with a Consensus Between Service Providers and Users[J]. Chinese Journal of Electronics, 2016, 25(4): 648-657. doi: 10.1049/cje.2016.07.003

Reusing Service Process Fragments with a Consensus Between Service Providers and Users

doi: 10.1049/cje.2016.07.003
Funds:  This work is supported by 973 Program of China (No.2014CB340401) and the National Natural Science Foundation of China (No.61273216, No.61202031, No.61272111).
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  • Corresponding author: LI Zengyang (corresponding author) was born in 1982. He received his Ph.D. degree from the department of Software Engineering of the University of Groningen, The Netherlands, 2015. He is a lecturer with the International School of Software at Wuhan University. He is currently working on technical debt management and architectural knowledge. (Email:zengyangli@outlook.com)
  • Received Date: 2014-12-17
  • Rev Recd Date: 2015-04-30
  • Publish Date: 2016-07-10
  • Recent years have witnessed a rapid growth in using Web services for data publishing and sharing among organizations. To improve the efficiency of software development and economize on human and material resources, service reuse is viewed as a powerful means which will not only reuse atomic services, but also reuse arbitrary granularities of Service process fragments (SPFs). However, effectively reusing arbitrary granularities of SPFs has not been solved yet, let alone taking diverse QoS preferences of service providers and users into account. In this paper, we propose a novel method of SPF reuse, named SCKY, based on the Cocke-Kasami-Younger (CKY) algorithm. We first present an extended CKY to do SPF-query. Then we address how to do SPF-query by a probability CKY, i.e., return a SPF with maximum emergence probability. Finally, we explore the SPF-query with a consensus of QoS preferences between service providers and users. Through a set of experiments, the effectiveness and robustness of our approach are evaluated.
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