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Testing and Traceability Aspects in the Context of the Model Driven Architecture (MDA)

Testing and Traceability Aspects in the Context of the Model Driven Architecture (MDA)

With the growth of complexity of the software systems it becomes more complicated to ensure and evaluate quality of the software being built. This paper discusses quality of the software in the context of the Model Driven Architecture. Paper analyses factors that affect quality of the software in the software development projects that are developed using MDA. As one of the important factor that affects quality of the software, is traceability. This paper provides description of the traceability property and importance of it within development of the software. Within context of this paper traceability is considered as a property of a system description technique that allows changes in one of the system descriptions to be traced to the corresponding portions of the other descriptions. This paper is focused on such aspects of the software development as testing and traceability in the context of MDA. Paper contains in review of traceability, MDA and traceability within MDA. Also paper contains description of the method for formal definition of the problem domain - called Topological functioning modeling for model driven architecture (TFMfMDA). This paper introduces method of the application of the TFM as the traceability tool. TFM as the traceability tool can be used to analyze impact of the changes and select most important tests.

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Usage of Graph Patterns for Knowledge Assessment Based on Concept Maps

. Ausubel D. P., Novak J. D., Hanesian H. Educational Psychology: A Cognitive View. - New York: Holt, Rinehart and Winston, 1978. Exploiting Compass as a Tool for Teaching and Learning / Gouli E., Gogoulou A., Alexopoulos A., Grigoriadou M. // Proceedings of the Third Conference on Concept Mapping, 22-25 September in Tallinn and Helsinki, 2008. - P.181-188. Conlon T. Formative Assessment of Classroom Concept Maps: the Reasonable Fallible Analyser // Journal of Interactive Learning Research. - 17(1), 2006. - P.15

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Comparison of Video Steganography Methods for Watermark Embedding

. M. Kasirun, A. A. Zaiden and B. B. Zaiden, “Hiding Data in Video File: An Overview,” J. of Applied Sciences , no. 10, pp. 1644–1649, June 2010. http://dx.doi.org/10.3923/jas.2010.1644.1649 [5] M. M. Sadek, A. S. Khalifa and M. G. M. Mostafa, “Video steganography: a comprehensive review,” Multimedia Tools and Applications , pp. 1–32, 2014. http://dx.doi.org/10.1007/s11042-014-1952-z [6] A. P. Sherly, P. P. Amritha, “A Compressed Video Steganography using TPVD,” Int. J. of Database Management Systems (IJDMS) , vol. 2, no. 3, pp. 67–80, August 2010

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Adaptive Regression and Classification Models with Applications in Insurance

, "Polynomial Regression Modelling using Adaptive Construction of Basis Functions," Proceedings of IADIS International Conference, Applied Computing 2008, Algarve, Portugal, pp. 269-276, 2008. [5] G. Jekabsons, "Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models," in Machine Learning, Y. Zhang, Ed. In-Tech, 2010, pp. 127-156. [6] P. Komarek and A. Moore, "Making Logistic Regression A Core Data Mining Tool With TR-IRLS," Proceedings of the 5th International Conference on Data Mining

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Evolution of the Concept Map Based Adaptive Knowledge Assessment System: Implementation and Evaluation Results

. Ausubel D. P. Educational Psychology: A Cognitive View. - New York: Holt, Rinehart and Winston, 1968. - P.685. Ausubel D. P. The Acquisition and Retention of Knowledge. - New York: Kluwer Academic Publishers, 2000. - P.232. Novak J. D., Gowin D. B. Learning How to Learn. - New York: Cornell University Press, 1984. - P.150. Novak J. D. Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. - New Jersey: Lawrence Erlbaum Associates, 1998. - P.272

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Experiment Plan as a Discreet System Equilibrium State

: http://www.osti.gov/scitech/servlets/purl/7091452/ [4] P. Audze and V. Eglājs, “New approach to the design of multifactor experiments,” Problems of Dynamics and Strengths, 35 ed. Riga: Zinatne Publishing House, 1977, pp. 104–107. [5] N. Kante and J. Lavendels, “Obtaining The Plan Of Experiments, On The Basis Of Modeling Of Interaction Of Charged Particles” in International Conference on “Theory and practice of simulation modeling and creation of simulators: the accumulation and processing of information, information models, information tools” , Penza

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The Definition of Framework for Automated Creation of Graph Visualization Systems

Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools. John Wiley & Sons, 2004. "Web Client Software Factory" 2008. [Online]. Available: http://msdn.microsoft.com/en-us/library/bb264518.aspx

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Self-Directed Performance Testing

applications," in 10th European Conference on Software Maintenance and Reengineering (CSMR 2006) , March 2006. USA: IEEE Computer Society, 2006, pp. 57-70. A. Sukhorukov, "Performance testing tool Picus," in 22nd International Conference on Systems for Automation of Engineering and Research (SAER-2008) , September 2008. Bulgaria: King, 2008, pp. 165-172.

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Unified Evaluation System for Audio Steganography Methods

-based steganography for MP3 audio , Multimedia Tools and Applications, Springer, 2009. G. Kipper, Investigator's Guide to Steganography. Washington D. C.: Auerbach Publications, 2004. D. Lavry. Sampling Theory For Digital Audio. Lavry Engineering, Inc., 2004.

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Definition of the Criteria for Layout of the UML Use Case Diagrams

://www.thinkmind.org/ [7] O. Nikiforova, S. Putintsev, and D. Ahilcenoka “Analysis of Sequence Diagram Layout in Advanced UML Modelling Tools”, Applied Computer Systems , vol. 19, no. 1, 2016, pp. 37–43. https://doi.org/10.1515/acss-2016-0005 [8] O. Nikiforova, and K. Gusarovs, “Comparison of BrainTool to Other UML Modeling and Model Transformation Tools”, AIP Conference Proceedings, International Conference on Numerical Analysis and Applied Mathematics ICNAAM 2016 , vol. 1863, no. 1, 2017. https://doi.org/10.1063/1.4992503 [9] A. Cockburn, Writing Effective Use Cases

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