Software and Data Technologies

This book constitutes the best papers of the First International Conference on Software and Data Technologies, ICSOFT 2006, held in Setúbal, Portugal, September 11-14, 2006.

The 25 revised full papers presented together with 5 invited papers were carefully reviewed and selected from 187 submissions. The papers are organized in topical sections on programming languages, software engineering, distributed and parallel systems, information systems and data management, as well as knowledge engineering.

Texte du rabat

This book contains the best papers of the First International Conference on Software and Data Technologies (ICSOFT 2006), organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC) in cooperation with the Object Management Group (OMG). Hosted by the School of Business of the Polytechnic Institute of Setubal, the conference was sponsored by Enterprise Ireland and the Polytechnic Institute of Setúbal. The purpose of ICSOFT 2006 was to bring together researchers and practitioners int- ested in information technology and software development. The conference tracks were "Software Engineering", "Information Systems and Data Management", "Programming Languages", "Distributed and Parallel Systems" and "Knowledge Engineering." Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data-warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data quality and other related topics are included in the scope of this conference. ICSOFT included in its program a panel to discuss the future of software devel- ment, composed by six distinguished world-class researchers. Furthermore, the c- ference program was enriched by a tutorial and six keynote lectures. ICSOFT 2006 received 187 paper submissions from 39 countries in all continents.

Contenu

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 Learning Probabilistic 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.