Advanced Information Systems Engineering

1. Front Matter

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2. Invited Talks

   1. Modelling in Information Systems Engineering When It Works and When It Doesn’t

      • Björn E. Nilsson

      Pages 1-1

   2. Aligning Organizational Performance to IT Development and Integration

      • Andris Laucins

      Pages 2-2

3. Enterprise Modelling I

   1. Model Driven Architectures for Enterprise Information Systems

      • Judith Barrios, Selmin Nurcan

      Pages 3-19

   2. Simple and Minimum-Cost Satisfiability for Goal Models

      • Roberto Sebastiani, Paolo Giorgini, John Mylopoulos

      Pages 20-35

   3. Energy Services: A Case Study in Real-World Service Configuration

      • Ziv Baida, Jaap Gordijn, Hanne Sæle, Andrei Z. Morch, Hans Akkermans

      Pages 36-50

4. Data Integration

   1. Experimenting Data Integration with DIS@DIS

      • Andrea Calì, Domenico Lembo, Riccardo Rosati, Marco Ruzzi

      Pages 51-66

   2. Data Integration Using ID-Logic

      • Bert Van Nuffelen, Alvaro Cortés-Calabuig, Marc Denecker, Ofer Arieli, Maurice Bruynooghe

      Pages 67-81

   3. AutoMed: A BAV Data Integration System for Heterogeneous Data Sources

      • Michael Boyd, Sasivimol Kittivoravitkul, Charalambos Lazanitis, Peter McBrien, Nikos Rizopoulos

      Pages 82-97

5. Conceptual Modelling I

   1. Adding Agent-Oriented Concepts Derived from Gaia to Agent OPEN

      • Brian Henderson-Sellers, John Debenham, Q. -N. N. Tran

      Pages 98-111

   2. An Ontologically Well-Founded Profile for UML Conceptual Models

      • Giancarlo Guizzardi, Gerd Wagner, Nicola Guarino, Marten van Sinderen

      Pages 112-126

   3. Measuring Expressiveness in Conceptual Modeling

      • Susanne Patig

      Pages 127-141

6. Workflows

   1. Design and Implementation of the YAWL System

      • Wil M. P. van der Aalst, Lachlan Aldred, Marlon Dumas, Arthur H. M. ter Hofstede

      Pages 142-159

   2. MT-Flow – An Environment for Workflow-Supported Model Transformations in MDA

      • Jernej Kovse, Theo Härder

      Pages 160-174

   3. Multiple Instantiation in a Dynamic Workflow Environment

      • Adnene Guabtni, François Charoy

      Pages 175-188

7. Methodologies for Is Development

   1. Method Components – Rationale Revealed

      • Kai Wistrand, Fredrik Karlsson

      Pages 189-201

   2. Towards a Meta-tool for Change-Centric Method Engineering: A Typology of Generic Operators

      • Jolita Ralyté, Colette Rolland, Rébecca Deneckère

      Pages 202-218

   3. Two-Hemisphere Model Driven Approach: Engineering Based Software Development

      • Oksana Nikiforova, Marite Kirikova

      Pages 219-233

8. Databases

   1. Secure Databases: An Analysis of Clark-Wilson Model in a Database Environment

      • Xiaocheng Ge, Fiona Polack, Régine Laleau

      Pages 234-247

   2. Optimizing DOM Programs on XML Views over Existing Relational Databases

      • Atsuyuki Morishima, Akira Kojima

      Pages 248-262

th CAiSE 2004 was the 16 in the series of International Conferences on Advanced Information Systems Engineering. In the year 2004 the conference was hosted by the Faculty of Computer Science and Information Technology, Riga Technical University, Latvia. Since the late 1980s, the CAiSE conferences have provided a forum for the presentation and exchange of research results and practical experiences within the ?eld of Information Systems Engineering. The conference theme of CAiSE 2004 was Knowledge and Model Driven Information Systems Engineering for Networked Organizations. Modern businesses and IT systems are facing an ever more complex en- ronment characterized by openness, variety, and change. Organizations are - coming less self-su?cient and increasingly dependent on business partners and other actors. These trends call for openness of business as well as IT systems, i.e. the ability to connect and interoperate with other systems. Furthermore, organizations are experiencing ever morevariety in their business, in all c- ceivable dimensions. The di?erent competencies required by the workforce are multiplying. In the same way, the variety in technology is overwhelming with a multitude of languages, platforms, devices, standards, and products. Moreover, organizations need to manage an environment that is constantly changing and where lead times, product life cycles, and partner relationships are shortening. ThedemandofhavingtoconstantlyadaptITtochangingtechnologiesandbu- ness practices has resulted in the birth of new ideas which may have a profound impact on the information systems engineering practices in future years, such as autonomic computing, component and services marketplaces and dynamically generated software.

• Workflow
• data warehouse
• database
• databases
• information system
• modeling
• requirements engineering
• systems engineering
• warehousing

• School of Humanities and Informatics, University of Skövde, Skövde, Sweden

  Anne Persson

• Jönköping University, Jönköping, Sweden

  Janis Stirna

Policies and ethics