Overview
- Bridges the gap between Requirements Analysis and formal software system specification
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Enterprise Modelling (EM) methods are frequently used by entrepreneurs as an analysis tool for describing and redesigning their businesses. The resulting product, an enterprise model, is commonly used as a blueprint for reconstructing organizations and such effort is often a part of business process re-engineering and improvement initiatives.
Automating Business Modelling describes different techniques of providing automated support for enterprise modelling methods and introduces universally used approaches. A running example of a business modelling method is included; providing a framework and detailed explanation as to how to construct automated support for modelling, allowing readers to follow the method to create similar support.
Suitable for senior undergraduates and postgraduates of Business Studies, Computer Science and Artificial Intelligence, practitioners in the fields of Knowledge Management, Enterprise Modelling and Software Engineering, this book offers insight and know-how to both student and professional.
Authors and Affiliations
Bibliographic Information
Book Title: Automating Business Modelling
Book Subtitle: A Guide to Using Logic to Represent Informal Methods and Support Reasoning
Authors: Yun-Heh Chen-Burger, Dave Robertson
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/b138799
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2005
Hardcover ISBN: 978-1-85233-835-0Published: 03 February 2005
Softcover ISBN: 978-1-84996-934-5Published: 22 October 2010
eBook ISBN: 978-1-84628-106-8Published: 27 November 2005
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XVII, 322
Topics: Management of Computing and Information Systems, Operations Research/Decision Theory, Business Mathematics, Artificial Intelligence, Database Management, Computer Appl. in Administrative Data Processing