Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theore ....Formalising and automating the elicitation and reconciliation of requirements from multiple stakeholders. It is well recognised that requirements specifications are often error-prone and that it is much cheaper to detect and fix these errors early in the software development life cycle than later. A major problem with requirements determination is that each and every stakeholder has his/her own representation of the enterprise reality. This project seeks to take these views and use set-theoretical techniques from Formal Concept Analysis (FCA) to automatically generate and compare the underlying conceptual models. A process model based on FCA has been proposed which we will extend and empirically evaluate in this project. The result will be a more rigorous and yet pragmatic approach to requirements engineering which offers the greatest economic leverage.Read moreRead less
Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent sys ....Multi-Ontologies meet UML: Improving the Software Engineering of Multi-Agent Systems. Multi-agent systems are a new style of software well suited for open, dynamic, distributed, global, heterogeneous environments such as the Internet. Systematic methods are needed to allow multi-agent systems to reason effectively with high level knowledge. This research draws on software engineering practice to develop a theory and methodology for multi-ontologies for expressing knowledge within multi-agent systems that facilitate adaptation and change.
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Integrating Model Checking and Knowledge Dynamics for System Verification. The task of system verification is to ensure the correctness of system design and specification in some automatic way. The aim of this project is to develop a new methodology and technology for computer software system verification by integrating traditional model checking approach and knowledge dynamics modeling. By deriving the results of this project, we will understand how model checking and knowledge dynamics modelin ....Integrating Model Checking and Knowledge Dynamics for System Verification. The task of system verification is to ensure the correctness of system design and specification in some automatic way. The aim of this project is to develop a new methodology and technology for computer software system verification by integrating traditional model checking approach and knowledge dynamics modeling. By deriving the results of this project, we will understand how model checking and knowledge dynamics modeling can be integrated for more effective software verification and modification, which will significantly improve current software design and development procedures, increase the correctness and stability of software systems, and provide high security for e-Commerce transaction systems.Read moreRead less