27th International Conference on Software Engineering and Data Engineering (SEDE 2018)

The conference encourages research and discussions on topics including, but not limited to:

• Requirements Engineering for Data Intensive Software Systems

• Software Verification and Model 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

• Cloud Infrastructure, Mobile, Distributed, and Peer-to-Peer Data Management

• 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

• Social Networks, Crowdsourcing, and Personal Information Management

• Data Grids, Data Warehousing, OLAP

• Temporal, Spatial, Sensor, and Multimedia Databases

• Taxonomies 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

• Software Engineering Education