Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. SOFTWARE ENGINEERING AND SYSTEMS DEVELOPMENT
2. SOFTWARE SYSTEMS AND APPLICATIONS
3. FOUNDATIONAL AND TRIGGER TECHNOLOGIES
 

AREA 1: SOFTWARE ENGINEERING AND SYSTEMS DEVELOPMENT

Mainstream topics in software engineering with wide adoption in practice, but where new methods, tools and techniques can bring further improvements in systems development.

• Agile Development
• Architectural Design, Refactoring and Patterns
• Automated Software Engineering
• Change and Configuration Management
• Data-driven Software Engineering
• Empirical Software Engineering
• Formal Methods
• Mobile and Cross Platform Development
• Model-driven Software Engineering
• Open Source Development
• People Management
• Process Modeling
• Programming Frameworks and Platforms
• Project Management
• Quality Management
• Requirements Engineering
• Software Engineering Tools
• Software Development Lifecycle
• Software and Systems Modeling
• Risk Management
• Software Project Planning and Tracking
• Testing and Testability
• User-centered Design

AREA 2: SOFTWARE SYSTEMS AND APPLICATIONS

Topics with emphasis on results and products of software development in specific application areas.

• Agent and Multi-agent Systems
• Ambient Intelligence and Digital Ecosystems
• Application Software
• Artificial Intelligence Applications
• Complex Systems
• Cyber-physical Systems
• Decision Support Systems
• Embedded Systems
• Enterprise Systems and Applications
• Government Systems and Applications
• Mobile Apps
• Real-time Systems
• Robotics
• Social Systems and Applications
• Software Product Line
• System Software
• Web Systems and Applications
• 3D Printing

AREA 3: FOUNDATIONAL AND TRIGGER TECHNOLOGIES

Foundational technologies for software development as well as trigger technologies for software systems. Trigger technologies are technologies which are promising but have not yet been proven in practice (i.e., they belong to the early hype cycle phase).

• Big Data and Data Science
• Cloud Computing
• Cybersecurity Technologies
• Digital Divide Technology Factors
• High performance computing
• Image Processing and Computer Vision
• Information Age and Digital Revolution
• Internet of Things
• Mobile Technologies
• Natural Language Technologies
• Network and Data Communications
• Software as a Service
• Virtual and Augmented Reality
• Web Technologies