Paper Info
Title
Automatic generation of SOAs for Business Process execution: A vision based on models
Abstract
Business Process Management (BPM) promotes in organizations a horizontal vision based on the processes they perform to reach their objectives, and on the systems that support them. These systems are "aware" of the business processes they integrate, which guide the system execution (Process Aware Information Systems, PAIS). Automating pieces of these processes by means of services orchestration (mainly web services) allows to integrate to process execution the invocation of legacy systems, systems from other organizations (clients, providers, partners, etc.) and newly developed systems. In this article we present a proposal for the automatic generation of this kind of systems to support business processes with services. The proposal is based on models and transformations between them, from the specification of the business process model in BPMN2, through the services model in SoaML, to the code generated for invoking services from process execution. In particular, the paper provides details on the generation of code in Java EE and Web Services.
Year
DOI
Venue
2013
10.1109/CLEI.2013.6670614
Computing Conference
Keywords
Field
DocType
Java,Web services,business data processing,service-oriented architecture,simulation languages,BPMN2,Java EE,PAIS,Process Aware Information Systems,SOA automatic generation,Service Oriented Architecture Modeling Language,SoaML,Web services,business process execution,business process management,business process model,legacy systems,process execution,service orchestration,services model,BPMN2,Business Process Management (BPM),JEE,Model Driven Development (MDD),Service Oriented Development (SOD),SoaML,WS,standards
Artifact-centric business process model,Business process management,Services computing,Computer science,Business Process Execution Language,Business process modeling,Business process discovery,Business rule,Business Process Model and Notation,Process management
Conference
ISSN
ISBN
Citations 
2381-1609
978-1-4799-2957-3
2
PageRank 
References 
Authors
0.47
14
2
Name
Order
Citations
PageRank
Andrea Delgado19121.17
Laura González23810.94