Modeling Approach for Integration and Evolution of Information System Conceptualizations

Most information systems development methodologies are based on conceptual modeling of static and dynamic views, which are represented by totally different types of diagrams. Understanding of the interplay among interactive, behavioral and structural aspects of specifications is necessary for identification of semantic integrity problems between business process and business data. Typically, semantic inconsistencies and discontinuities between collections of conceptual representations are not easy to detect and to comprehend for information system designers due to static and dynamic aspects of models being visualized in isolation. The goal of this paper is to present a modeling approach for semantic integration and evolution of static and dynamic aspects of conceptual models. Visualization of interplay among structural, interactive and behavioral aspects of computation-neutral representations helps to understand crosscutting concerns and integrity problems of information system conceptualizations. The main advantage of the presented conceptual modeling approach is stability and flexibility of diagrams in dealing with the evolutionary changes of requirements. Therefore, the developed modeling foundation is targeted to both business managers and information system designers for the purpose of computation-neutral integration and evolution of information systems specifications.

[1]  Marco Brambilla,et al.  Ontological Description and Similarity-Based Discovery of Business Process Models , 2011, Int. J. Inf. Syst. Model. Des..

[2]  Arne Sølvberg,et al.  Understanding quality in conceptual modeling , 1994, IEEE Software.

[3]  Ivar Jacobson,et al.  The Unified Modeling Language User Guide , 1998, J. Database Manag..

[4]  Giancarlo Guizzardi,et al.  Modal Aspects of Object Types and Part-Whole Relations and the de re/de dicto Distinction , 2007, CAiSE.

[5]  Craig Larman,et al.  Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition) , 1997 .

[6]  Claus-Peter Rückemann,et al.  Integrated Information and Computing Systems for Natural, Spatial, and Social Sciences , 2012 .

[7]  Henk Jonkers,et al.  The Anatomy of the ArchiMate Language , 2010, Int. J. Inf. Syst. Model. Des..

[8]  Hans Weigand,et al.  Resource Analysis and Classification for Purpose Driven Value Model Design , 2010, Int. J. Inf. Syst. Model. Des..

[9]  David Harel,et al.  Statecharts: A Visual Formalism for Complex Systems , 1987, Sci. Comput. Program..

[10]  Remigijus Gustas A Look Behind Conceptual Modeling Constructs in Information System Analysis and Design , 2010, Int. J. Inf. Syst. Model. Des..

[11]  Maria José Sousa,et al.  Knowledge Integration in Problem Solving Processes , 2013, WorldCIST.

[12]  Jaap Gordijn,et al.  Understanding Business Strategies of Networked Value Constellations Using Goal- and Value Modeling , 2006, 14th IEEE International Requirements Engineering Conference (RE'06).

[13]  Joerg Evermann,et al.  Ontology Based Object-Oriented Domain Modeling: Representing Behavior , 2009, J. Database Manag..

[14]  James Martin,et al.  Object-oriented methods (UML ed., 2nd ed.): a foundation , 1997 .

[15]  Dov Dori,et al.  Object-process methodology - a holistic systems paradigm , 2013 .

[16]  Henk Jonkers,et al.  Concepts For Modeling Enterprise Architectures , 2004, Int. J. Cooperative Inf. Syst..

[17]  Jaap Gordijn,et al.  Business Modelling Is Not Process Modelling , 2000, ER.

[18]  Ron Weber,et al.  Should Optional Properties Be Used in Conceptual Modelling? A Theory and Three Empirical Tests , 2001, Inf. Syst. Res..

[19]  Eric S. K. Yu,et al.  Towards modelling and reasoning support for early-phase requirements engineering , 1997, Proceedings of ISRE '97: 3rd IEEE International Symposium on Requirements Engineering.

[20]  Clive Finkelstein,et al.  Enterprise Integration Using Enterprise Architecture , 2004 .

[21]  Youcef Baghdadi,et al.  Business process modeling with services: Reverse engineering databases , 2013 .

[22]  Mario Piattini,et al.  Uncovering Essential Software Artifacts through Business Process Archeology , 2013 .

[23]  Eric S. K. Yu,et al.  Interactive Analysis of Agent-Goal Models in Enterprise Modeling , 2010, Int. J. Inf. Syst. Model. Des..

[24]  Remigijus Gustas,et al.  Service-Oriented Foundation and Analysis Patterns for Conceptual Model-ling of Information Systems , 2007, ISD.

[25]  Jan L. G. Dietz,et al.  Enterprise ontology - theory and methodology , 2006 .

[26]  Bernhard Rumpe,et al.  Meaningful modeling: what's the semantics of "semantics"? , 2004, Computer.

[27]  James E. Rumbaugh,et al.  Object-Oriented Modeling and Design with UML , 2004 .

[28]  D. A Jardine,et al.  Concepts and terminology for the conceptual schema and the information base , 1984 .

[29]  Shazia Wasim Sadiq,et al.  Flexible Provenance Tracing , 2011, Int. J. Syst. Serv. Oriented Eng..

[30]  Pierre F. Tiako,et al.  Software Applications: Concepts, Methodologies, Tools, and Applications , 2009 .

[31]  Lars Frank,et al.  Architecture for Integration and Migration of Information Systems by Using SOA Services across Heterogeneous System Boundaries , 2013 .

[32]  Nicola Guarino,et al.  Towards an Ontological Foundation for Services Science , 2009, FIS.

[33]  John Mylopoulos,et al.  Requirements as Goals and Commitments Too , 2010, Intentional Perspectives on Information Systems Engineering.

[34]  Gustas Remigijus,et al.  Pragmatic-Driven Approach for Service-Oriented Analysis and Design , 2008 .

[35]  Martin Glinz,et al.  Problems and deficiencies of UML as a requirements specification language , 2000, Tenth International Workshop on Software Specification and Design. IWSSD-10 2000.

[36]  Isabel Schwerdtfeger High-End Storage , 2013 .