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PART 3 Information Systems Analysis and Specification
ANALYSIS AND RE-ENGINEERING OF WEB SERVICES Axel Martens Humboldt-Universität zu Berlin, Department of Computer Science E-mail: martens@informatik.hu-berlin.de Keywords: Web services, Business Processes, Analysis, Usability, Petri nets Abstract: To an increasing extend software systems are integrated across the borders of individual enterprises. The Web service approach provides group of technologies to describe components and their composition, based on well established protocols. Focused on business processes, one Web service implements a local subprocess. A distributed business processes is implemented by the composition a set of communicating Web services. At the moment, there are various modeling languages under development to describe the internal structure of one Web service and the choreography of a set of Web services. Nevertheless, there is a need for methods for stepwise construction and verification of such components. This paper abstracts from concrete syntax of any proposed language definition. Instead, we apply Petri nets to model Web services. Thus, we are able to reason about essential properties, e. g. usability of a Web service – our notion of a quality criterion. Based on this framework, we present an algorithm to analyze a given Web service and to transfer a complex process model into a appropriate model of a Web service. 1 INTRODUCTION In this paper, we focus on the application of Web service technology to distributed business processes: One Web service implements a local subprocess. Thus, we regard a Web services as a stateful system. From composition of a set of Web services there arises a system that implements the distributed business processes. Within this setting, the quality of each single Web service and the compatibility of a set of Web services are questions of major interest. In this paper, we define the notion of usability – our quality criterion of a Web service and present an algorithm to verify this property. Based on this analysis, we present an approach to restructure and simplify a given Web service model. 1.1 Web Services A Web service is a self-describing, self-contained modular application that can be described, published, located, and invoked over a network, e. g. the World Wide Web. A Web service performs an encapsulated function ranging from a simple request-reply to a full I. Seruca et al. (eds.), Enterprise Information Systems VI, © 2006 Springer. Printed in the Netherlands. 169 169–176. business process. A Web service has a standardized interface and can be accessed via well established protocols. Thus, the Web service approach provides a homogenous layer to address components upon a heterogenous infrastructure. Instead of one new specific technology, the Web service approach provides group of closely related, established and emerging technologies to model, publish, find and bind Web services – called the Web service technology stack (Gottschalk, 2000). This paper is concerned with the application of Web service approach towards the area of business processes. Thus, we focus on the behavior of a Web service, defined by its internal structure. 1.2 Business Processes A business process consists of a self-contained set of causally ordered activities. Each activity performs a certain functionality, produces and consumes data, requires or provides resources and is executed manually or automatically. A distributed business process consists of local subprocesses that are geographically distributed and/or organizationally independent.
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A C.I.P. Catalogue record for this
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vi TABLE OF CONTENTS PART 1 - DATAB
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viii TABLE OF CONTENTS A WIRELESS A
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CONFERENCE COMMITTEE Honorary Presi
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Hung, P. (AUSTRALIA) Jahankhani, H.
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Invited Papers
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2 ENTERPRISE INFORMATION SYSTEMS VI
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10 ENTERPRISE INFORMATION SYSTEMS V
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EVOLUTIONARY PROJECT MANAGEMENT: MU
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MANAGING COMPLEXITY OF ENTERPRISE I
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ASSESSING EFFORT PREDICTION MODELS
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ORGANIZATIONAL AND TECHNOLOGICAL CR
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ASAP Processes W Project Kickoff A
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since it means changing the relevan
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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ACME-DB: AN ADAPTIVE CACHING MECHAN
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Hit Rate (%) ACME-DB: AN ADAPTIVE C
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5.3.6 Effect on all Policies by Int
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ACKNOWLEDGEMENTS We would like to t
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This paper describes the data sampl
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The major limit A of the operation
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RELATIONAL SAMPLING FOR DATA QUALIT
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TOWARDS DESIGN RATIONALES OF SOFTWA
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((Brown et al., 1998), pp. 159-190,
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sive data filtering, presentation (
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• implementation changes in servi
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MEMORY MANAGEMENT FOR LARGE SCALE D
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Data Rate [bytes/sec] 1600000 14000
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E.g., DV Camcorder Camera Packets (
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Procedure CheckOptimal (n rs 1 ...n
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MEMORY MANAGEMENT FOR LARGE SCALE D
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PART 2 Artificial Intelligence and
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110 ENTERPRISE INFORMATION SYSTEMS
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Page 127 and 128: DYNAMIC MULTI-AGENT BASED VARIETY F
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A USER-CENTERED METHODOLOGY TO GENE
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carries out the second phase of the
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1 1 1 1 2 PROCESS STORE ENTITY EDGE
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constraints rules. KOGGE (Ebert et
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PART 4 Software Agents and Internet
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CABA 2 L A BLISS PREDICTIVE COMPOSI
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y disables evidencing severe mental
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Figure 4: Symbols emission in DAR-H
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they evidence a generalization erro
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A METHODOLOGY FOR INTERFACE DESIGN
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and mobility loss coupled with redu
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Tradeoff: The default input is poss
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Sessions on the VABS which are held
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A CONTACT RECOMMENDER SYSTEM FOR A
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A CONTACT RECOMMENDER SYSTEM FOR A
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- "Going to the sources". The user
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Here are the matrix W and P for our
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EMOTION SYNTHESIS IN VIRTUAL ENVIRO
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theme turns out to be surprisingly
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6 FROM FEATURES TO SYMBOLS 6.1 Face
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sions are described by different em
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Electronic Imaging 2000 Conference
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to the accessibility problem for th
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Figure 3: Hierarchical View of the
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4 CONCLUSIONS AND FUTURE WORK On th
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PERSONALISED RESOURCE DISCOVERY SEA
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profile, the user defines his curre
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Abdelkafi, N. .....................
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