Software Engineering Methodologies and Languages for Event Driven and Large-Scale Management Systems (SLEMS)

Dear Colleagues,

Software Engineering is generally defined as a discipline dedicated to the design, development, implementation, testing, and maintenance of high-quality software. In recent years, a considerable volume of research addressing the improvement of software qualities such as correctness, adaptability, reusability, testability, execution performance, robustness, and safety has been published. Programming languages provide executable linguistic mechanisms that can be employed by software engineers in the realization and maintenance phases of software development. Programming languages are generally considered for their support for quality attributes such as expressivity, flexibility, composability, compile-ability, efficiency of execution, availability of libraries and development environments.

Software systems are becoming increasingly large and complex due to their application over wide topologies, the online gathering and processing of data from multiple skyborne, airborne, ground-based and under-water resources, the cooperation of various heterogeneous subsystems, integration with social systems, and their monitoring, command, and control functionalities. Such event-driven and large-scale management systems cannot be efficiently and effectively designed and maintained by utilizing traditional technologies. Typical examples of such systems are disaster and emergency management systems, environmental observation and control systems, large-area remote monitoring and protection systems, smart agricultural systems, smart cities and applications, and supply chain management and logistics.

In parallel to the development of scientific and engineering knowledge, software engineering methodologies and languages must fully exploit the availability of large amounts of relevant data and the advancement of artificial intelligence techniques, the existence of effective software libraries and tools, and advances in processing power and networked data systems.

Despite the progress made, there is a need for novel and out-of-the-box research that deals with the design and maintenance of such complex systems.

The topics of interest related to Software Engineering Methodologies and Languages applied to Event-Driven Large-Scale Management Systems include (but are not limited to) the following:

• Applied formal methods for large systems;
• Methodologies for forward and reverse engineering, and maintenance;
• Domain-specific architectures and languages;
• Technical depth detection, planning and management;
• Architectures including product lines, systems of systems, and integration of architectures for business enterprise systems;
• Architectural tactics, styles and design patterns;
• Self-adaptive architectures;
• Big data architectures;
• Application of artificial intelligence to software engineering and languages;
• Quality assurance and quality trade off.

Such problems must be identified and addressed within the context of the following or similar topics relevant to Event-Driven Large-Scale Management Systems:

• Remote monitoring and analysis and data fusion for situational awareness;
• Complex event processing systems;
• Coordination of mobile and fixed data sources;
• Dynamic fault-tolerant, secure and/or energy efficient systems;
• Situational analysis and dynamic demand generation systems;
• Optimal resource allocation and scheduling systems;
• End-to-end traceability of monitoring and controlling processes;
• Quality control;
• Digital twins, consistency, conflict management, concurrency and concurrency control;
• Simulation and optimization.

Prof. Dr. Mehmet Aksit
Prof. Dr. Valter Vieira de Camargo
Guest Editors

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• programming languages
• software engineering
• software architecture
• digital twins
• software quality assurance
• event-driven systems
• large-scale management systems