A requirements elicitation framework for AOSE
Details
This research monograph examines the difficulties of gathering and expressing requirements for agent based systems, and describes the development of an agent oriented requirements elicitation framework. Conceptual modelling in the form of Conceptual Graphs is offered as a means of representing the constituent parts of an agent based system. In particular, use of a specific graph, the Transaction Model, illustrates how complex agent concepts can be modelled and tested prior to detailed design specification. Using an exemplar in the healthcare domain, a design framework is developed showing how the Transaction Agent Modelling (TrAM) approach assisted the design of complex community healthcare payment models. Insight gained during the design process is used to enrich and refine the framework in order that detailed ontological specifications can be constructed, before validating with a mobile learning scenario. The ensuing discussion evaluates how useful the approach is, and demonstrates a number of significant contributions for early requirements gathering in Agent Oriented Software Engineering (AOSE).
Autorentext
Dr Richard Hill is Head of Subject, Computing and Mathematics, and a Reader in Intelligent Systems at the University of Derby, UK. Dr Hill has published over 80 research articles in international conferences and journals, and has authored and edited several books. His research interests are agency, complexity and emergence in intelligent systems.
Weitere Informationen
- Allgemeine Informationen
- Sprache Englisch
- Herausgeber LAP LAMBERT Academic Publishing
- Gewicht 417g
- Untertitel A guide to early requirements gathering with transaction agent modelling (TrAM) for agent oriented software engineering
- Autor Richard Hill
- Titel A requirements elicitation framework for AOSE
- Veröffentlichung 11.04.2012
- ISBN 3848486571
- Format Kartonierter Einband
- EAN 9783848486571
- Jahr 2012
- Größe H220mm x B150mm x T17mm
- Anzahl Seiten 268
- Auflage Aufl.
- GTIN 09783848486571