Development of Novel Techniques in Information Systems Architecture
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 1568
Special Issue Editor
Interests: information systems; modelling; design; methods; methodologies; enterprise architecture; software architecture; computational intelligence; semantic technologies; ontologies; information theory; information complexity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue explores cutting-edge methodologies and intelligent tools driving innovation in Information Systems, Enterprise, and Software Architecture. As digital ecosystems evolve, emerging technologies such as Artificial Intelligence (AI), blockchain, and formal modeling offer new paradigms for designing, verifying, and optimizing architectural frameworks.
Key themes include the application of AI to generate adaptive enterprise and software architectures, enhancing scalability, interoperability, and decision support. Large Language Models (LLMs) are investigated as enablers for the automated creation and refinement of Business Process Model and Notation (BPMN) diagrams, facilitating intelligent process modeling. The integration of Robotic Process Automation (RPA) into architectural design is also examined, with a focus on automation in development, governance, and maintenance.
Furthermore, the Special Issue invites studies on embedding blockchain technologies and design patterns within enterprise and software architectures to strengthen transparency, trust, and data integrity. Advanced formal approaches—such as hypergraph-based representations and type theory—are highlighted for their potential in model checking, verification, and validation, ensuring correctness and reliability across complex systems.
The concepts of Cloud Computing, Service-Oriented Architectures, and Microservices techniques are worth considering. Additionally, the integration and application of various AI models (such as ML, Data Science, NLP, and LLM) could be investigated in the context of Data Lake and Lakehouse approaches.
Contributions presenting theoretical advances, practical applications, and cross-disciplinary insights are encouraged to define the next generation of intelligent, verifiable, and adaptive architectural paradigms.
Dr. Bálint Molnár
Guest Editor
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Keywords
- information systems architecture
- enterprise architecture
- software architecture
- artificial intelligence (AI)
- large language models (LLMs)
- business process model and notation (BPMN)
- robotic process automation (RPA)
- blockchain technologies
- hypergraph models
- type theory
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