SEDE 2018 - 27th International Conference on Software Engineering and Data Engineering
Date2018-10-08 - 2018-10-10
Deadline2018-05-31
VenueNew Orleans, LA, USA - United States
Keywords
Websitehttps://www.cse.unr.edu/SEDE
Topics/Call fo Papers
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.
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
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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Last modified: 2017-12-14 13:50:03