SEDE 2012 - International Conference on Software Engineering and Data Engineering

The 21st SEDE Conference is interested in gathering researchers and professionals in the domains of Software Engineering and Data Engineering to present and discuss high-quality research results and outcomes in their fields. SEDE 2012 aims at facilitating cross-fertilization of ideas in Software and Data Engineering, and hence especially encourages high-quality research integrating both domains.
Recent trends in computing have shown a growing need for the development of distributed, decentralized computing systems that are adaptive. Hence we encourage research papers dealing with the process definition, requirements specification, modeling, design, and management of distributed, adaptive, data-intensive systems. Applied case studies will report on exemplary solutions deployed in industries such as aerospace, telecommunications, and military.
The conference also encourages research and discussions on topics including, but not limited to:
Requirements Engineering for Data Intensive Software Systems
Software Verification and Model of Checking
Model-Based Methodologies
Software Quality and Software Metrics
Architecture and Design of Data Intensive Software Systems
Software Testing
Service- and Aspect-Oriented Techniques
Adaptive Software Systems
Information System Development
Software and Data Visualization
Development Tools for Data Intensive Software Systems
Software Processes
Software Project Management
Applications and Case Studies
Engineering Distributed, Parallel, and Peer-to-Peer Databases
Semi-Structured Data and XML Databases
Data Integration, Interoperability, and Metadata
Data Mining: Traditional, Large-Scale, and Parallel
Ubiquitous Data Management and Mobile Databases
Data Privacy and Security
Scientific and Biological Databases and Bioinformatics
Data Grids, Data Warehousing, OLAP
Temporal, Spatial, Sensor, and Multimedia Databases
Taxonomy and Categorization
Pattern Recognition, Clustering, and Classification
Knowledge Management and Ontologies
Query Processing and Optimization
Database Applications and Experiences
Web Data Management and Deep Web