T. A. Kurniawan, A. Ghose, K. Dam, Lam-Son Lê, Tiancheng Zhang
{"title":"Design Maintenance in Process Eco-Systems","authors":"T. A. Kurniawan, A. Ghose, K. Dam, Lam-Son Lê, Tiancheng Zhang","doi":"10.1109/SCC.2012.104","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of managing business process changes at the design level within a complex business process repository. We argue that a formal process eco-systems view can provide a particular useful solution to the problem in which their inter-process relationships can be properly described. Our intent is to build a modular infrastructure to support change management in process eco-systems by leveraging a change propagation approach that would maintain the inter-process relationships. This permits us to propagate the changes, made on a particular process, to the rest of the processes for maintaining the relationship equilibrium of such eco-system. Our experimental evaluation suggests that the propagation of change can be efficiently achieved, which suggests that the real source of complexity stems from the redesign of individual models.","PeriodicalId":178841,"journal":{"name":"2012 IEEE Ninth International Conference on Services Computing","volume":"425 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Ninth International Conference on Services Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCC.2012.104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper addresses the problem of managing business process changes at the design level within a complex business process repository. We argue that a formal process eco-systems view can provide a particular useful solution to the problem in which their inter-process relationships can be properly described. Our intent is to build a modular infrastructure to support change management in process eco-systems by leveraging a change propagation approach that would maintain the inter-process relationships. This permits us to propagate the changes, made on a particular process, to the rest of the processes for maintaining the relationship equilibrium of such eco-system. Our experimental evaluation suggests that the propagation of change can be efficiently achieved, which suggests that the real source of complexity stems from the redesign of individual models.