Recent years have witnessed a rapidly rising emphasis on the design, implementation and management of complex computer systems which are present in every aspect of human activities, such as manufacturing, communications, defence, transportation, aerospace, hazardous environments, energy, and healthcare. These complex systems are frequently distributed over heterogeneous networks and process a large amount of data, leveraging emerging artificial intelligence (AI), large language models, and machine learning techniques. Complexity arises from many factors, including the dynamic environment and the scenarios these systems operate in, demanding and sometimes conflicting requirements in functionality, efficiency, scalability, security, dependability and adaptability, data heterogeneity, as well as the wide range of development methodologies, programming languages and implementation details. Performance, real-time behaviour, fault tolerance, robustness, security, adaptability, development time and cost, and long life concerns are some of the key issues arising in the development of such systems.

The International Conference on Engineering of Complex Computer Systems (ICECCS) is a well-established event that has been held around the world for over 25 years. The goal of this conference is to bring together industrial, academic, and government experts from a variety of application domains and software disciplines, to discuss how the disciplines’ problems and solution techniques interact within the whole system. Researchers, practitioners, tool developers and users, and technology transfer experts are all welcome. The scope of the conference includes long-term research issues, near-term requirements and challenges, established complex systems, emerging promising tools, and retrospective and prospective reflections of research and development into complex systems.

List of Topics

Authors are invited to submit papers describing original, unpublished research results, case studies and tools. Papers are solicited in all areas related to complex computer-based systems, including the causes of complexity and means of avoiding, controlling, or coping with complexity. Topic areas include, but are not limited to:

Requirements, modeling and formal methods 

    Requirements analysis and specification
    Model-driven development
    Model checking 
    SAT/SMT solvers for software analysis and testing

AI, Complex intelligent models and complex systems 

    Big data management
    Data-drive and AI-backed systems 
    Machine learning for Software Engineering 
    AI4SE and SE4AI 
    Adaptive, self-managing and multi-agent systems 

Security, reliability and dependability 

    Safety-critical and fault-tolerant architectures 
    Formal methods 
    Security and privacy of complex systems
    Privacy-preserving AI 
    Fairness 

Software engineering 

    Verification and validation
    Reverse engineering and refactoring
    Software architecture 
    Human Machine Interaction
    Agile methods

Realistic complex systems 

    Ubiquitous computing, context awareness, sensor networks
    Cyber-physical systems and Internet of Things (IoT)
    Autonomous systems and self-healing systems
    Industrial case studies

Different kinds of contributions are sought, including novel research, lessons learned, experience reports, and discussions of practical problems faced by industry and user domains. The ultimate goal is to build a rich and comprehensive conference program that can fit the interests and needs of different classes of attendees: professionals, researchers, managers, and students. A program goal is to organize several sessions that include both academic and industrial papers on a given topic and culminate panels to discuss relationships between industrial and academic research.