By Björn E. Nilsson (auth.), Anne Persson, Janis Stirna (eds.)
th CAiSE 2004 used to be the sixteen within the sequence of foreign meetings on complicated details structures Engineering. within the 12 months 2004 the convention was once hosted by way of the college of computing device technology and data know-how, Riga Technical college, Latvia. because the past due Nineteen Eighties, the CAiSE meetings have supplied a discussion board for the presentation and alternate of analysis effects and useful studies in the ?eld of knowledge structures Engineering. The convention subject of CAiSE 2004 was once wisdom and version pushed details platforms Engineering for Networked corporations. glossy companies and IT platforms are dealing with an ever extra advanced en- ronment characterised by way of openness, sort, and alter. businesses are - coming much less self-su?cient and more and more depending on enterprise companions and different actors. those traits demand openness of industrial in addition to IT platforms, i.e. the facility to attach and interoperate with different structures. moreover, businesses are experiencing ever extra sort of their company, in all c- ceivable dimensions. The di?erent potential required via the crew are multiplying. within the similar manner, the diversity in know-how is overwhelming with a large number of languages, systems, units, criteria, and items. in addition, enterprises have to deal with an atmosphere that's consistently altering and the place lead occasions, product existence cycles, and companion relationships are shortening. ThedemandofhavingtoconstantlyadaptITtochangingtechnologiesandbu- ness practices has led to the delivery of recent principles that could have a profound impression at the details structures engineering practices in years to come, comparable to autonomic computing, part and companies 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
Encoding the Goal Graph: The first component of the goal graph given in the form: is the representation being the conjunction of the invariant axioms (1) for the goal G in Figure 2 and being the conjunction of the relation axioms in (2)-(7) and their dual ones corresponding to the relation These axioms encode the forward propagation of values through the relation arcs in the goal graph. Representing Desired Final Output Values: The second component is a representation of the output values the user want to be assigned to the target goal.
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. 6. P. Liberatore. Algorithms and Experiments on Finding Minimal Models.
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. 6. P. Liberatore. Algorithms and Experiments on Finding Minimal Models. Technical report, DIS, University of Rome “La Sapienza”, December 2000. it/~liberato/mindp/ Simple and Minimum-Cost Satisfiability for Goal Models 35 7. M. W. Moskewicz, C. F. Madigan, Y. , L. Zhang, and S.