Software Technology

Welcome to the Software Technology (ST) Track. This year we are proud to introduce a total of fourteen minitracks on a wide variety of cutting edge research topics:

Agile and Lean: Organizations, Products and Development: focuses on some key concepts of “agile and lean”, including the metrics for project status and success and how the use of lean can be integrated within an agile approach.

Blockchain Engineering: aims at providing a forum for addressing the challenges arising from the paradigm shift and the “how to” of engineering a blockchain system for enterprises that can fundamentally change how business value is created, discovered, and realized.

Cellular and Wireless Networks: is focused on the issues that arise in designing and building cellular and wireless networks, and on the applications of such networks in solving real-world challenges and securely connecting people and devices.

Co-Development With Software and Business Engineering Frameworks and Methods: explores how frameworks, methods and tools are selected, integrated and deployed to manage information systems development, project and program management, and innovation management.

Computational Intelligence and State-of-the-Art Data Analytics: focuses on use of AI and Data Science to detect and analyze real-time data streams for attacks and intrusions. This research has applications in manufacturing; marketing; heath care; pharmaceuticals and much more.

Cyber Operations, Defence, and Forensic: aims at identifying and validating technical solutions to secure data from new and emerging technologies, investigating the impact that these solutions have on cyber operations, defenses, and digital forensics solutions.

Cyber Systems: Their Science, Engineering and Security: focuses on multi-disciplinary research aiming to provide a rigorous, effective, and innovative approach to developing and securing cyber systems, including industrial control systems.

Cybersecurity and Software Assurance: explores the foundations of software assurance to improve dependability. The goal is to develop foundations, technologies, and practices that can improve the security and dependability of complex systems.

Internet of Things Security: Cyberassurance For Edge, Software Defined, and Fog Computing Systems: focuses on Cyber-Assurance theory, application, embedded security, and machine-learning for the Internet of Things (IoT), Edge computing, software-defined networks and Fog computing architectures.

Machine Learning and Cyber-Threat Intelligence and Analytics: focuses on research with an emphasis on techniques and tools to perceive, reason and act on data collected from attacks (or attempts), sophisticated persistent threat campaigns, etc.

Security and Privacy Aspects of Human-Computer Interaction: explores concepts, prototypes, and evaluations of how users interact with information systems and what implications these interactions have for information security and data privacy.

Smart (City) Application Development: Challenges and Experiences: focuses on how the concepts and ideas of Smart Applications are realized, especially from a software engineering point of view.

Software Development for Mobile Devices, the Internet-of-Things, and Cyber-Physical Systems: is devoted to the technological background of mobile computing while keeping an eye on business value, user experience, and domain-specific issues.

Software Sustainability: Strategies for Long-Lasting and Usable Research: focuses on the broad spectrum of submissions that deal with complex scenarios such as containerization, strategies for long-lasting software, usability and user interface issues, handling data curation and provenance and more.

Rick Kazman
University of Hawaii
kazman@hawaii.edu

Gul Agha
University of Illinois at Urbana-Champaign
agha@illinois.edu