Ontology-based Validation of Agent Oriented Modelling
Alex Lopez-Lorca, Ghassan Beydoun, LEON S. STERLING, Tim Miller · CEUR Workshop Proceedings · 2010
the potential of Multi-Agent Systems (MAS), this tech- nology has not been widely adopted by industry yet. Due to its complexity, errors in modelling activities can be costly. Early validation of MAS models can prevent rework or building a sys- tem non-compliant with client's specification. We propose a gen- eral ontology-based process to validate any kind of software mod- els that can be adapted in a broad range of software development projects. We illustrate this for MAS development as its complex- ity justifies additional costs associated with applying our add-on validation process. This work provides early evidence of the soundness of our approach. We successfully validate and improve the quality of MAS models for a real-life development project showing that our MAS models validation process can contribute to harnessing the commercial potential of MAS technology.