Software and Data Technologies

Invited Papers.- Adaptive Integration of Enterprise and B2B Applications.- Ambient Intelligence: Basic Concepts and Applications.- How to Quantify Quality: Finding Scales of Measure.- Metamodeling as an Integration Concept.- Engineering Object and Agent Methodologies.- I: Programming Languages.- From Static to Dynamic Process Types.- Aspectboxes: Controlling the Visibility of Aspects.- On State Classes and Their Dynamic Semantics.- Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic.- II: Software Engineering.- Bridging between Middleware Systems: Optimisations Using Downloadable Code.- MDE for BPM: A Systematic Review.- Exploring Feasibility of Software Defects Orthogonal Classification.- Mapping Medical Device Standards Against the CMMI for Configuration Management.- A Systematic Review Measurement in Software Engineering: State-of-the-Art in Measures.- Engineering a Component Language: CompJava.- III: Distributed and Parallel Systems.- Towards a Quality Model for Grid Portals.- Algorithmic Skeletons for Branch and Bound.- A Hybrid Topology Architecture for P2P File Sharing Systems.- Parallel Processing of "Group-By Join" Queries on Shared Nothing Machines.- Impact of Wrapped System Call Mechanism on Commodity Processors.- IV: Information Systems and Data Management.- Adding More Support for Associations to the ODMG Object Model.- Measuring Effectiveness of Computing Facilities in Academic Institutes: A New Solution for a Difficult Problem.- Combining Information Extraction and Data Integration in the ESTEST System.- Introducing a Change-Resistant Framework for the Development and Deployment of Evolving Applications.- Smart Business Objects for Web Applications: A New Approach to Model Business Objects.- A Data Mining Approach to LearningProbabilistic User Behavior Models from Database Access Log.- V Knowledge Engineering.- Approximate Reasoning to Learn Classification Rules.- Combining Metaheuristics for the Job Shop Scheduling Problem with Sequence Dependent Setup Times.- A Description Clustering Data Mining Technique for Heterogeneous Data.- A Pattern Selection Algorithm in Kernel PCA Applications.