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94 Reverse Engineering – Recent Advances and Applications [4] Arsanjani A.: Service Oriented Modeling and Architecture (SOMA). http://www.ibm.com/developerworks/webservices/library/ws-soa-design1/ [5] Albert, M et al.: Model to Text Transformation in Generating Code from Rich Associations Specifications, In: Advances in Conceptual Modeling – Theory and Practice, LNCS 4231, Springer Berlin:2006. [6] Java Emitter Templates (JET) http://www.eclipse.org/articles/Article-JET/jet_tutorial1.html [7] S. Sendall, W. Kozaczynski; “Model Transformation - the Heart and Soul of Model- Driven Software Development”. IEEE Software, vol. 20, no. 5, September/October 2003, pp. 42-45. [8] Sendall S. Kuster J. “Taming Model Round-Trip Engineering”. In Proceedings of Workshop ’Best Practices for Model-Driven Software Development. [9] Uwe Aßmann, Automatic Roundtrip Engineering, Electronic Notes in Theoretical Computer Science, Volume 82, Issue 5, April 2003, Pages 33-41, ISSN 1571-0661, 10.1016/S1571-0661(04)80732-1. [10] Nija Shi; Olsson, R.A.; , "Reverse Engineering of Design Patterns from Java Source Code," Automated Software Engineering, 2006. ASE '06. 21st IEEE/ACM International Conference on , vol., no., pp.123-134, 18-22 Sept. 2006. [11] L. C. Briand, Y. Labiche, and J. Leduc. Toward the reverse engineering of uml sequence diagrams for distributed java software. IEEE Trans. Software Eng., 32(9):642–663, 2006. [12] G. Canfora, A. Cimitile, and M. Munro. Reverse engineering and reuse re-engineering. Journal of Software Maintenance and Evolution - Research and Practice, 6(2):53–72, 1994. [13] R. Fiutem, P. Tonella, G. Antoniol, and E.Merlo. A clich´e based environment to support architectural reverse engineering. In Proceedings of the International Conference on Software Maintenance, pages 319–328. IEEE Computer Society, 1996. [14] Gerardo CanforaHarman and Massimiliano Di Penta. 2007. New Frontiers of Reverse Engineering. In 2007 Future of Software Engineering (FOSE '07). IEEE Computer Society, Washington, DC, USA, 326-341. DOI=10.1109/FOSE.2007.15 http://dx.doi.org/10.1109/FOSE.2007.15 [15] Atanas Rountev, Olga Volgin, and Miriam Reddoch. 2005. Static control-flow analysis for reverse engineering of UML sequence diagrams. In Proceedings of the 6th ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering (PASTE '05), Michael Ernst and Thomas Jensen (Eds.). ACM, New York, NY, USA, 96-102. DOI=10.1145/1108792.1108816 http://doi.acm.org/10.1145/1108792.1108816 [16] Rountev A., Kagan S., and Gibas, M. Static and dynamic analysis of call chains in Java. In International Symposium on Software Testing and Analysis, pages 1.11, July 2004. [17] L. Briand, Y. Labiche, and Y. Miao. Towards the reverse engineering of UML sequence diagrams. In Working Conference on Reverse Engineering, pages 57.66, 2003. [18] IBM Rational Software Architect. http://www.ibm.com/developerworks/rational/products/rsa/ [19] IBM WebSphere Services Fabric: http://www-01.ibm.com/software/integration/wbsf/ [20] SAP NetWeaver: Adoptive technology for the networked Fabric. http://www.sap.com/platform/netweaver/index.epx [21] Oracle Enterprise 2.0 http://www.oracle.com/technetwork/topics/ent20/whatsnew/index.html [22] Microsoft .Net http://www.microsoft.com/net
1. Introduction Reverse Engineering the Peer to Peer Streaming Media System 5 Chunxi Li1 and Changjia Chen2 1Beijing Jiaotong University 2Lanzhou Jiaotong University China Peer to peer (P2P) content distribution network like BitTorrent (BT) is one of most popular Internet applications today. Its success heavily lies on the ability to share the capacity of all the individuals as a whole. As the first deployed prototype on the real Internet, CoolStreaming (Zhang et al., 2005) for the first time manifests what a great application potential and huge business opportunity it can reach if the content is delivered not only in large scale but also on real-time. Along the way to the large-scale Along the way to such as system, people (Vlavianos et al., 2006) find there is no natural connection between the abilities of mass data delivering and real-time distributing in any protocol. This discovery stimulates people to study how to modify protocols like BT to meet the real-time demand. Since 2004, a series of large-scale systems like PPLive and PPStream have been deployed in China and all over the world, and become the world-class popular platforms. Many research reports on them also mark their success. However, most existing works are descriptive. They tell about how such a system works and how to measure it, but do not pay much effort to explain why. In this chapter, we take a different route. We seek to better understand the operation and dynamics of P2P systems at a deeper level of detail. We split our understanding objective into the following subobjectives 1) understand the working principle through the communication protocol crack, 2) comprehend the streaming content-delivery principle, 3) locate the measurable parameters which can be used to evaluate the system performance; 4) understand the P2P network through the models of startup process and user behavior, and analyze the engineering design objectives. The requirements for reaching those goals are as follows. 1) the research must be driven by mass measured data of real network. 2) for us, the measuring platform must be suitable to the normal access situation like the home line. 3) datasets must be available in terms of scalability, quality and correctness of information. 4) the process of reversing engineering should be well designed with ease to set up the analysis, ease to interpret the results and ease to draw conclusions from the presented results. However, the road towards reaching our research goals is full of challenges. On this road, many new findings are reported, many original problems are presented, and many design philosophies are discussed for the first time. Because all P2P streaming systems so far are proprietary without any public technical documentation available, the fundamental “entry
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Contents Preface IX Part 1 Software
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Preface Introduction In the recent
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Preface XI and con’s related to t
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Part 1 Software Reverse Engineering
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A Review on Shape Engineering and D
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Integrating Reverse Engineering and
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Part 3 Reverse Engineering in Medic
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268 Fig. 6. A closed polygon mesh r
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272 3. Results Reverse Engineering
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