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doi:10.1016/j.dss.2007.04.009 
Copyright © 2007 Elsevier B.V. All rights reserved.
Agile Integration Modeling Language (AIML): A conceptual modeling grammar for agile integrative business information systems
Received 7 February 2006;
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Abstract
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.
Keywords: Conceptual modeling grammar; Systems modeling; Requirements specifications; Role-based modeling; Multiagent systems modeling; Integrative business information systems modeling
Article Outline
- 1. Introduction
- 2. The MIBIS conceptual framework
- 3. The AIML Grammar
- 3.1. The AIML Fundamentals
- 3.2. Formal Specification of AIML
- 3.2.1. Goal dependency model
- 3.2.2. Role determination
- 3.2.3. Interaction specification
- 3.2.4. Task specification
- 3.2.5. Information modeling
- 3.2.6. Knowledge specification
- 3.2.7. Agent modeling
- 4. AIML quality evaluation
- 5. Conclusion
- References
- Vitae
