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Article: Facilitating Cloud Process Family Co-evolution by Reusable Process Plug-in: An Open-source Prototype

TitleFacilitating Cloud Process Family Co-evolution by Reusable Process Plug-in: An Open-source Prototype
Authors
Issue Date2017
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4629386
Citation
IEEE Transactions on Services Computing, 2017, v. 10 n. 6, p. 854-867 How to Cite?
AbstractIn a business cloud environment, a reference business process model needs to be customized in order to meet the individualized requirements of each organization. Consequently, a reference process model is generally evolved to a couple of process variants, known as a process family. Currently, there exist some approaches and tools that can efficiently configure a reference process model. However, a key issue is how to manage co-evolution appropriately within a family of process models if the base process model of a process family is changed. Contemporary process management tools do not adequately support the management of such co-evolution. Each process variant in the process family has to be changed as a separate process model which often leads to redundancies and inefficiencies. In this article, we propose a novel approach for managing co-evolution of process families based on an aspect-oriented approach. Change options on base process model are abstracted and extracted as a pluggable component, which can be selectively reused for all members, and consequently, guides the co-evolution for the whole process family. In particular, the control-flow and data-flow relations between process extension and a member of process families can be built by leveraging process extensibility patterns. The correctness of our extension approach is proved based on graph theory. The whole approach in this article have been implemented as a working open-source prototype and tested against a real case study from the city logistic distribution domain as well as real data set from SAP reference models.
Persistent Identifierhttp://hdl.handle.net/10722/231402
ISSN
2021 Impact Factor: 11.019
2020 SCImago Journal Rankings: 1.207
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorFeng, ZW-
dc.contributor.authorChiu, KWD-
dc.contributor.authorPeng, R-
dc.contributor.authorGong, P-
dc.contributor.authorHe, K-
dc.contributor.authorHuang, Y-
dc.date.accessioned2016-09-20T05:22:52Z-
dc.date.available2016-09-20T05:22:52Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Services Computing, 2017, v. 10 n. 6, p. 854-867-
dc.identifier.issn1939-1374-
dc.identifier.urihttp://hdl.handle.net/10722/231402-
dc.description.abstractIn a business cloud environment, a reference business process model needs to be customized in order to meet the individualized requirements of each organization. Consequently, a reference process model is generally evolved to a couple of process variants, known as a process family. Currently, there exist some approaches and tools that can efficiently configure a reference process model. However, a key issue is how to manage co-evolution appropriately within a family of process models if the base process model of a process family is changed. Contemporary process management tools do not adequately support the management of such co-evolution. Each process variant in the process family has to be changed as a separate process model which often leads to redundancies and inefficiencies. In this article, we propose a novel approach for managing co-evolution of process families based on an aspect-oriented approach. Change options on base process model are abstracted and extracted as a pluggable component, which can be selectively reused for all members, and consequently, guides the co-evolution for the whole process family. In particular, the control-flow and data-flow relations between process extension and a member of process families can be built by leveraging process extensibility patterns. The correctness of our extension approach is proved based on graph theory. The whole approach in this article have been implemented as a working open-source prototype and tested against a real case study from the city logistic distribution domain as well as real data set from SAP reference models.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4629386-
dc.relation.ispartofIEEE Transactions on Services Computing-
dc.rightsIEEE Transactions on Services Computing. Copyright © IEEE.-
dc.rights©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleFacilitating Cloud Process Family Co-evolution by Reusable Process Plug-in: An Open-source Prototype-
dc.typeArticle-
dc.identifier.emailChiu, KWD: dchiu88@hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSC.2015.2504973-
dc.identifier.scopuseid_2-s2.0-85100706092-
dc.identifier.hkuros266942-
dc.identifier.volume10-
dc.identifier.issue6-
dc.identifier.spage854-
dc.identifier.epage867-
dc.identifier.isiWOS:000418057100003-
dc.identifier.issnl1939-1374-

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