By Björn E. Nilsson (auth.), Anne Persson, Janis Stirna (eds.)
th CAiSE 2004 used to be the sixteen within the sequence of overseas meetings on complicated details platforms Engineering. within the yr 2004 the convention was once hosted by means of the school of laptop technological know-how and knowledge expertise, Riga Technical collage, Latvia. because the past due Eighties, the CAiSE meetings have supplied a discussion board for the presentation and trade of analysis effects and sensible stories in the ?eld of data structures Engineering. The convention subject matter of CAiSE 2004 used to be wisdom and version pushed info structures Engineering for Networked companies. sleek companies and IT structures are dealing with an ever extra advanced en- ronment characterised by way of openness, type, and alter. companies are - coming much less self-su?cient and more and more depending on company companions and different actors. those tendencies demand openness of industrial in addition to IT structures, i.e. the power to attach and interoperate with different structures. in addition, organisations are experiencing ever extra sort of their enterprise, in all c- ceivable dimensions. The di?erent potential required via the team are multiplying. within the comparable method, the diversity in expertise is overwhelming with a mess of languages, systems, units, criteria, and items. furthermore, corporations have to deal with an atmosphere that's continually altering and the place lead occasions, product lifestyles cycles, and accomplice relationships are shortening. ThedemandofhavingtoconstantlyadaptITtochangingtechnologiesandbu- ness practices has led to the beginning of latest principles that may have a profound impression at the details platforms engineering practices in years yet to come, resembling autonomic computing, part and prone marketplaces and dynamically generated software.
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Additional resources for Advanced Information Systems Engineering: 16th International Conference, CAiSE 2004, Riga, Latvia, June 7-11, 2004. Proceedings
Davis, G. Logemann, and D. Loveland. A machine program for theorem proving. Journal of the ACM, 5(7), 1962. 4. P. Giorgini, E. Nicchiarelli, J. Sebastiani. Reasoning with Goal Models. In Proc. Int. Conference of Conceptual Modeling – ER ’02, LNCS, Tampere, Finland, October 2002. Springer. 5. R. Jarvis, G. McArthur, J. Mylopoulos, P. Rodriguez-Gianolli, and S. Zhou. Semantic Models for Knowledge Management. In Proc. of the Second International Conference on Web Information Systems Engineering (WISE’01), 2001.
Let be a set of values for the input goals. Then can be inferred from by means of axioms (1)-(7) if and only if there exists a truth value assignment satisfying (1)-(7), (11)-(12) and the values and Proof. If: Assume satisfies and and all axioms (1)-(7) and (11)-(12). By condition (9), for every target goal G there exists a DAG rooted in G whose leaves are all input nodes. We reason on induction of the depth of this DAG. If G is also an input goal, then for some so that is inferred from by a zero-step inference.
E. and Penker, M. (2000), Business modeling with UML- Business patterns at work, J. Wiley. 33. -J. (2000) Configurable business objects for building evolving enterprise models and applications, in Business Process Management – Models Techniques and Empirical Studies, Springer, 2000. 34. , Moreno, M. (1995) An approach for defining ways-of-working, Information System Journal 20(4), pp. 337-359. edu Abstract. Goal models have been used in Computer Science in order to represent software requirements, business objectives and design qualities.
Advanced Information Systems Engineering: 16th International Conference, CAiSE 2004, Riga, Latvia, June 7-11, 2004. Proceedings by Björn E. Nilsson (auth.), Anne Persson, Janis Stirna (eds.)