Agile Integration Modeling Language (AIML): A conceptual modeling grammar for agile integrative business information systems


The proliferation of newer agile integrative business information systems (IBIS) environments that use the software agent and the multiagent systems paradigms has created the need for a common and well-accepted conceptual modeling grammar that can be used to efficiently, precisely, and unambiguously, model agile IBIS systems at the conceptual level. In this paper, we propose a conceptual modeling grammar termed Agile Integration Modeling Language (AIML) based on established ontological foundation for the multiagent-based integrative business information systems (MIBIS) universe. The AIML grammar provides adequate and precise constructs and semantics for modeling agile integration among participating work systems in terms of quickly building and dismantling dynamic collaboration relationships among them to respond to fast-changing market needs. The AIML grammar is defined as a formal model using Extended BNF and first order logic, and is elaborated using a running example in the paper. The grammar is also evaluated in terms of its syntactic, semantic, and pragmatic qualities and is found to exhibit a high degree of quality on all these three dimensions. In particular, the pragmatic quality of AIML measured in terms of grammar complexity evaluated using complexity metrics indicates that AIML is much easier to learn and use as compared to the Unified Modeling Language (UML) for modeling agile integration of work systems in organizations.


Information Technology and Cybersecurity

Document Type





Conceptual modeling grammar, Integrative business information systems modeling, Multiagent systems modeling, Requirements specifications, Role-based modeling, Systems modeling

Publication Date


Journal Title

Decision Support Systems