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Enterprise Interoperability - Third International IFIP Working Conference, IWEI 2011, Stockholm, Sweden, March 23-24, 2011. Proceedings; 01/2011
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Information Systems Evolution - CAiSE Forum 2010, Hammamet, Tunisia, June 7-9, 2010, Selected Extended Papers; 01/2010
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ABSTRACT: Decision-making on enterprise-wide information system issues can be furthered by the use of models as advocated by the discipline
of enterprise architecture. In order to provide decision-making support, enterprise architecture models should be amenable
to analyses. This paper presents a software tool, currently under development, for interoperability analysis of enterprise
architecture models. In particular, the ability to query models for structural information is the main focus of the paper.
Both the tool architecture and its usage is described and exemplified.
12/2009: pages 81-90;
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10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing, SNPD 2009, in conjunction with 3rd International Workshop on e-Activity, IWEA 2009, 1st International Workshop on Enterprise Architecture Challenges and Responses, WEACR 2009, Catholic University of Daegu, Daegu, Korea, 27-29 May 2009; 01/2009
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Enterprise Interoperability - Second IFIP WG 5.8 International Workshop, IWEI 2009, Valencia, Spain, October 13-14, 2009. Proceedings; 01/2009
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IJCSA. 01/2009; 6:89-120.
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Proceedings of the 15th Americas Conference on Information Systems, AMCIS 2009, San Francisco, California, USA, August 6-9, 2009; 01/2009
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ABSTRACT: Enterprise architecture models can be used in order to increase the general understanding of enterprise systems and specifically to perform various kinds of analysis. It is generally understood that such modeling encompasses general scientific issues, but the monetary aspects of the modeling of software systems and their environment are not equally well acknowledged. Even more so, creating a good metamodel for enterprise software systems analysis is an important but challenging task. The present paper describes a method for creating metamodels for such analysis. The enterprise architecture models are formalized using probabilistic relational models, which enables the combination of regular entity-relationship modeling aspects with means to perform enterprise architecture analysis. The proposed method for creating metamodels is general, however this paper presents the method by creating a metamodel for systems modifiability, i.e. the cost of making changes to enterprise-wide systems. The method and the method outcome, i.e. the metamodel, is validated based on survey and workshop data and the applicability of the metamodel is illustrated with an instantiated architectural model based on a software change project at a large Nordic software and hardware vendor.
International Journal of Computer Science and Applications c Technomathematics Research Foundation. 01/2009; 6:89-120.
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ABSTRACT: Good IT decision making is a highly desirable property that can be furthered by the use of enterprise architecture, an approach to IT management using diagrammatic models. In order to support decision making, the models must be amenable to various kinds of analysis. It is desirable that the models support the sought after analysis effectively since creation of enterprise architecture models often is a demanding task. This paper suggests a framework for enterprise service interoperability analysis and a metamodel containing the information needed to perform the analysis. The paper also illustrates the use of the framework and metamodel in a fictional example.
Services Computing, 2008. SCC '08. IEEE International Conference on; 08/2008
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2008 IEEE International Conference on Services Computing (SCC 2008), 8-11 July 2008, Honolulu, Hawaii, USA; 01/2008
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Enterprise Interoperability III - New Challenges and Industrial Approaches, Proceedings of the 4th International Conference on Interoperability for Enterprise Software and Applications, IESA 2008, March 26-28, 2008, Berlin, Germany.; 01/2008
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ABSTRACT: Modern enterprises face the challenge to survive in an ever changing environment. One commonly accepted means to address this challenge and further enhance survivability is enterprise architecture (EA) management, which provides a holistic model-based approach to business/IT alignment. Thereby, the decisions taken in the context of EA management are based on accurate documentation of IT systems and business processes. The maintenance of such documentation causes high investments for enterprises, especially in the absence of information on the change rates of different systems and processes. In this paper we propose a method for gathering and analyzing such information. The method is used to analyze the life spans of the application portfolio of three companies from different industry sectors. Based on the results of the three case studies implications and limitations of the method are discussed.
http://www.alexandria.unisg.ch/Publikationen/67821.
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ABSTRACT: Technical solution paper Abstract—Creating accurate models of information systems is an important but challenging task. It is generally well understood that such modeling encompasses general scientific issues, but the monetary aspects of the modeling of software systems are not equally well acknowledged. The present paper describes a method using Bayesian networks for optimizing modeling strategies, per-ceived as a trade-off between these two aspects. Using GeNIe, a graphical tool with the proper Bayesian algorithms implemented, decision support can thus be provided to the modeling process. Specifically, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with his projection of their costs. It is argued that this method might enhance modeling of large and complex software systems in two principal ways: Firstly, by enforcing rigor and making hidden assumptions explicit. Secondly, by enforcing cost awareness even in the early phases of modeling. The method should be used primarily when the choice of modeling can have great economic repercussions. Index Terms—Software measurement, Bayesian networks, value of information, cost-benefit analysis.
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ABSTRACT: Creating accurate models of information systems is an important but challenging task. It is generally well under-stood that such modeling encompasses general scientific is-sues, but the monetary aspects of the modeling of software systems are not equally well acknowledged. The present paper describes a method using Bayesian networks for op-timizing modeling strategies, perceived as a trade-off be-tween these two aspects. Using GeNIe, a graphical tool with the proper Bayesian algorithms implemented, deci-sion support can thus be provided to the modeling process. Specifically, an informed trade-off can be made, based on the modeler's prior knowledge of the predictive power of certain models, combined with his projection of their costs. It is argued that this method might enhance modeling of large and complex software systems in two principal ways: Firstly, by enforcing rigor and making hidden assumptions explicit. Secondly, by enforcing cost awareness even in the early phases of modeling. The method should be used pri-marily when the choice of modeling can have great eco-nomic repercussions.
