Authors are invited to submit full paper describing original research work in areas including, but are not limited to:

Track 1: Advances in Software Engineering Processes and Methodologies

Advanced agile software development
Green-oriented software engineering
Application Integration Technologies
Architectural Design and Frameworks
Big Data and Software Engineering
Reverse Software Engineering
Software Change, Configuration and Quality Management
Software and Systems Development
Methodologies and Complexity
Micro Services Software Engineering
Mobile applications-oriented software

Track 2: Software Deployment, Operations and Reusability

Internet-of-Things (IoT) oriented software
Software for high speed data sensing
Software for data analytics and pervasive systems
Software for energy optimization
Green/Sustainable Data-Center Management
Search Engines and Information Retrieval
Data Mining and Knowledge Discovery
Safety and Security Critical Software
Artificial Intelligence Reengineering and Reverse Engineering
Software Deployment for Distributed and Intelligent Systems

Track 3: Service Science and Information Engineering

Business Process Management (BPM) and Engineering
Delivery, Deployment and Maintenance of Service Systems
Document and Workflow Management
Knowledge Management and Engineering
Service-Oriented Architectures (SOA)
Service Level Agreements (SLAs) and Quality of Service (QoS)
Enterprise Content Managements (ECMs)
Cloud Computing and Business Intelligence (BI)
Corporate Performance Management (CPM)
Enterprise Data Warehouse

Track 4: Computer Science and Engineering Education

Lifelong Learning
Interactive and Collaborative Learning
Mobile Learning Environments and Applications
Knowledge Management and Learning
Educational Virtual Environments
New Learning Models and Applications
Research in Engineering and Computer Science Pedagogy
Ethics in Engineering and Computer Science Education
Role of Public Policy in Engineering and Computer Science Education

Track 5: Biomedical and Healthcare Applications

Biomedical Engineering
Machine Learning for medical imaging
Machine Learning in healthcare applications
Bioinformatics
Sensing, analysis and diagnosis in medical applications
Big Data in medical applications