By Ella Roubtsova (auth.), Boris Shishkov (eds.)

This ebook comprises the prolonged and revised types of 8 of the 10 complete papers (out of fifty eight submissions) offered on the First foreign Symposium on enterprise Modeling and software program layout (BMSD 2011), held in Sofia, Bulgaria.

The subject matter of BMSD 2011 was once "Business types and complicated software program Systems," and the similar medical components of curiosity have been: enterprise types and specifications, enterprise types and companies, company versions and software program, and knowledge platforms architecture.

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Business Modeling and Software Design: First International Symposium, BMSD 2011, Sofia, Bulgaria, July 27-28, 2011, Revised Selected Papers

This booklet includes the prolonged and revised models of 8 of the 10 complete papers (out of fifty eight submissions) provided on the First overseas Symposium on enterprise Modeling and software program layout (BMSD 2011), held in Sofia, Bulgaria. The topic of BMSD 2011 used to be "Business types and complicated software program Systems," and the similar clinical components of curiosity have been: company versions and standards, enterprise versions and prone, enterprise versions and software program, and data platforms structure.

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The average time a request takes to complete or the average system throughput) can be estimated at the end of the simulation run. Estimates are provided in the form of confidence intervals. A confidence interval is a range with a given probability that the estimated performance metric lies within this range. The main advantage of simulation models is that they are very general and can be made as accurate as desired. However, this accuracy comes at the cost of the time taken to develop and run the models.

34 5 S. Kounev et al. Concluding Remarks We presented a historical perspective on the evolution of model-based performance engineering techniques for business information systems, focusing on the major developments over the past four decades that have shaped the field, such as the increasing integration of software-related aspects into performance models, the increasing parametrization of models to foster model reuse, the increasing use of automated model-to-model transformations to bridge the gap between models at different levels of abstraction, and finally the increasing use of models at run-time for online performance management.

In: Proceedings of the International Workshop on Software and Performance (2000) 14. net 15. : Performance Prediction for Component Compositions. , Wallnau, K. ) CBSE 2004. LNCS, vol. 3054, pp. 280–293. Springer, Heidelberg (2004) 16. : Performance Engineering of Component-Based Distributed Software Systems. , Scholz, A. ) WOSP 2000 and GWPESD 2000. LNCS, vol. 2047, pp. 40–55. Springer, Heidelberg (2001) 17. : Filling the gap between design and performance/reliability models of component-based systems: A model-driven approach.

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