Advanced Information Systems Engineering: 21st International Conference, CAiSE 2009, Amsterdam, The Netherlands, June 8-12, 2009, Proceedings [Paperback]

This book constitutes the refereed proceedings of the 21st International Conference on Advanced Information Systems Engineering, CAiSE 2009, held in Amsterdam, The Netherlands, on June 8-12, 2009. The 36 papers presented in this book together with 6 keynote papers were carefully reviewed and selected from 230 submissions. The topics covered are model driven engineering, conceptual modeling, quality and data integration, goal-oriented requirements engineering, requirements and architecture, service orientation, Web service orchestration, value-driven modeling, workflow, business process modeling, and requirements engineering.Keynotes.- The Science of the Web.- TomTom for Business Process Management (TomTom4BPM).- Computer-Centric Business Operating Models vs. Network-Centric Ones.- The IT Dilemma and the Unified Computing Framework.- Tutorial: How to Value Software in a Business, and Where Might the Value Go?.- Towards the Next Generation of Service-Based Systems: The S-Cube Research Framework.- Model Driven Engineering.- An Extensible Aspect-Oriented Modeling Environment.- Incremental Detection of Model Inconsistencies Based on Model Operations.- Reasoning on UML Conceptual Schemas with Operations.- Conceptual Modelling 1.- Towards the Industrialization of Data Migration: Concepts and Patterns for Standard Software Implementation Projects.- Defining and Using Schematic Correspondences for Automatically Generating Schema Mappings.- The Problem of Transitivity of Part-Whole Relations in Conceptual Modeling Revisited.- Conceptual Modelling 2.- Using UML as a Domain-Specific Modeling Language: A Proposal forAutomatic Generation of UML Profiles.- Verifying Action Semantics Specifications in UML Behavioral Models.- Using Macromodels to Manage Collections of Related Models.- Quality and Data Integration.- A Case Study of Defect Introduction Mechanisms.- Measuring and Comparing Effectiveness of Data Quality Techniques.- Improving Model Quality Using Diagram Coverage CriterilS(