Description

The 27th 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 2018 aims at facilitating cross-fertilization of ideas in Software and Data Engineering, and hence especially encourages high-quality research integrating both domains.

Call for paper

Important Dates

Draft paper submission deadline:2018-05-31

Draft paper acceptance notification:2018-07-15

Final paper submission deadline:2018-08-15

Topics of submission

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

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Contact information

  • Fred.Harris@cse.unr.edu