Software Technology

Welcome to the Software Technology (ST) Track. This year we received 92 submissions to our 14 minitracks and accepted 45. Other than the 7 papers by minitrack Chairs, which were reviewed separately, all papers were reviewed within their own minitracks. AI is once again a major theme in several minitracks, in addition to familiar topics such as software process, cybersecurity, sustainability, and mobile and edge computing. We are proud to present both an evolving track with contemporary themes as well as lasting topics in minitracks with several years of existence. Given that you are reading this, you might be interested in proposing your own minitrack. Please consider proposing a minitrack in cutting edge areas of ST. This year's minitracks are as follows:

Advances in Software Resilience: New Frontiers in Testing, Verification, Compliance, and Fault-Tolerance Mechanisms: pushes the boundaries of research and practice in software testing, QA, and metrics, particularly in the context of resilience engineering. The minitrack aims to address the pressing challenges of ensuring software systems can withstand, adapt to, and recover from disruptions in a wide range of operational environments.

AI-Powered Cyber Attacks and Countermeasures: aims to bring together researchers and practitioners to discuss emerging AI-powered threats and novel defense strategies. The focus is placed on the dual role of AI in cybersecurity—both as a weapon for cyber attackers and as a tool for defenders.

Artificial Intelligence Security: Ensuring Safety, Trustworthiness, and Responsibility in AI Systems: serves as a platform for presenting innovative research, discussing emerging trends, and setting the agenda for future exploration in the field of AI security. It addresses the intersection of technology, safety, trustworthiness, responsibility, and policy, ensuring a comprehensive approach to AI security.

Cyber Operations, Defense, and Forensics: focuses on advancing cyber operations, defenses, and digital forensics by exploring solutions to secure data, assess technology impact, address abuse, and evaluate responses to emerging technological challenges in commercial, government, and legal contexts.

Cybersecurity and Software Assurance: focuses on advancing research, technologies, and practices to enhance the security and dependability of software systems, uniting cybersecurity and software assurance experts in a multidisciplinary approach to address persistent vulnerabilities and evolving threats.

Games for Impact: explores the design, development, and impact of games and game technologies beyond entertainment, focusing on applications in health, learning, empathy, social innovation, and citizen science.

Generative AI in IS Research and Education: Opportunities and Challenges: investigates the applications of Generative and Conversational AI in Information Systems, focusing on areas like NLP, recommendation systems, and personalization, addressing their integration into IS research, practice, and education.

Impact of AI on Software Engineering: examines how AI technologies are transforming software engineering, from development to lifecycle management, fostering discussion and innovation through cutting-edge research on their impact and applications.

Intelligent Edge Computing: explores the synergy of software, devices, networks, and people in dynamic environments, emphasizing the role of intelligent edge computing in IoT/IoE systems and the integration of generative AI, with a focus on sustainability, energy efficiency, and cloud-edge paradigms.

Real-Time Simulation of Cyber-Physical Systems: involves research on the real-time simulation of cyber-physical systems (CPSs). The ongoing digitalization and cyberization of society has led to an increasing reliance on CPSs in many domains, including infrastructure, industry, and services. As CPSs integrate computational and physical capabilities with real-time functionality, their economic and societal impacts are substantial. Failures in CPSs can have immediate and severe consequences, underscoring the need for robust testing and development methodologies.

Software Sustainability: Research on Usability, Maintainability, and Reproducibility: examines the interplay of usability, sustainability, and reproducibility, focusing on concepts like containerization, long-lasting software strategies, user interfaces, and data curation, with particular relevance to Science Gateways and virtual research environments.

Software Technology and Software Development: explores emerging trends in software development, focusing on multi-platform solutions, advancements in AI, and distributed systems, while addressing challenges in usability, business value, and domain-specific applications through both applied and theoretical perspectives.

Tools and Processes for Enabling Agile Projects, Teams, and Organizations: examines evolving methods and tools for rapid development, such as Agile, DevOps, low-code platforms, and AI-driven coding, addressing organizational challenges like scaling, remote work, and knowledge gaps, while exploring applications in diverse contexts like data science and product development.

Trustworthy Artificial Intelligence and Machine Learning: explores explainable, reproducible, ethical, and trustworthy AI, focusing on transparency in AI/ML models, addressing bias, ensuring dataset comprehensiveness, and fostering reproducibility to build trust and confidence in AI-driven results.

We hope that you enjoy this broad spectrum of stimulating and provocative research!

Rick Kazman
University of Hawaii
kazman@hawaii.edu

Tor-Morten Grønli
Kristiania University College
Tor-Morten.Gronli@kristiania.no