With the ever expanding range of computing platforms and applications, system complexity is on the rise. Increasing intelligence and autonomics in today’s systems requires innovative approaches to address these concomitant complexity issues. At this cross-section of volume and complexity, current technologies are often ineffective at coping with the demands for quality computer systems. Manifold dependencies between the critical software, hardware, communications, and human elements now drive computer system and software architectures. Complexity of software systems has grown significantly, pervading several key application areas including Manufacturing, Communications, Transportation, Internet, Entertainment, Mobile, Healthcare, Aerospace, and Energy. These systems are frequently distributed over heterogeneous networks, involving Internet technologies. Inundated by temporal constraints, boundless functionalities, complex algorithms, distributed and mobile architectures, security constraints, reliability, high performance, interoperability, security, and the like, these complexities are further weighing down development and evolution of today’s software systems and ultimately the organizations they serve.
To cope with these and other complexity issues, computer systems are modeled or specified using multi-paradigm approaches often requiring instruments and tools to visualize and understand. Advancements in formal modeling, instrumentation, and information visualization are providing traction on this important area. Whether traditional, formal models or more innovative approaches are employed; these solutions are at the frontier of systems and software engineering.
The goal of this conference is to assemble industrial, academic and government experts, from a variety of user domains and software disciplines, to examine key complexity problems and effective solutions. Researchers, practitioners, tool developers and users, and technology transition experts are all welcome. The scope of the interest includes long-term research, near-term complex system requirements and promising tools, existing systems, and commercially available tools.
Topic Areas: 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:
- System and software architecture and system engineering
- Tools, environments, and languages for complex systems
- Formal methods and approaches to manage and control complex systems
- Integration of heterogeneous technologies
- Software and system development and control processes for complex systems
- Human factors and collaborative aspects
- Interoperability and standardization
- Systems and software safety and security
- Industrial automation, embedded and/or real time systems
- Content production and distribution systems, mobile and multi-channel systems
- Software complexity visualization
- Virtual environments for managing complexity
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