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Cloud-Based Test Tools: A Brief Comparative View

References 1. Riungu-Kalliosaari, L., O. Taipale, K. Smolander (n. d.). 27 September 2012. https://www.infoq.com/articles/testing-in-the-cloud-exploring-the-practice 2. Cloud Testing (n. d.). https://www.techopedia.com/definition/26540/cloud-testing 3. Nachiyappana, S., S. Justusb. Cloud Testing Tools and Its Challenges: A Comparative Study. – In: 2nd International Symposium on Big Data and Cloud Computing, 2015, (ISBCC’15). 4. Abhang, R. D., B. B. Gite. Testing Methods and Tools in a Cloud Computing Environment. – International Journal

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An approach to classification of MDA tools

. Meservy T., Fenstermacher K. Transforming Software Development: An MDA Road Map // IEEE Computer.—IEEE Computer Society Press, 2005.—Vol.38, Nr.9, p.52-58. Architectural manifesto: Choosing MDA tools / IBM, 2005.— Available at: http://www.ibm.com/developerworks/wireless/library/wi-arch18.html Ullman J., Widom J. A First Course in Database Systems, 2nd edition.—Upper Saddle River: Prentice-Hall, 2002.—p.511. Getting Started with Modeling Maturity Levels / Kleppe A., Warmer J., 2004.— Available

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Comparative Analysis of Business Process Modelling Tools for Compliance Management Support

(BPM) software, BPMS and Workflow,” Bizagi. [Online]. Available: http://www.bizagi.com/en/bpmsuite. [21] “Open Source Workflow & BPM software,” Bonitasoft. [Online]. Available: http://www.bonitasoft.com/. [22] “Cameo Business Modeler,” No Magic. [Online]. Available: http://www.nomagic.com/products/cameo-business-modeler.html. [23] “CPN Tools Homepage,” CPN Tools. [Online]. Available: http://cpntools.org/. [24] “Enterprise Architect 8,” Sparx Systems. [Online]. Available: http

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On Foundation for Certification of Model Driven Architecture (MDA) Tools: Defining a Specification

. Nikiforova, A. Cernickins, and N. Pavlova, "Discussing the difference between model driven architecture and model driven development in the context of supporting tools," in Proceedings of the 4th International Conference on Software Engineering Advances (ICSEA) 2009 , September 2009, pp. 1-6. W. Royce, "Managing the development of large software systems: concepts and techniques," in Proceedings of WESTCON. San Francisco: IEEE Press, 1970, pp. 1-9. B. Boehm, "A spiral model of development and enhancement," ACM SIGSOFT

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Gamification in Software Development Projects

.1007/978-3-319-07632-4_52 [7] A. Williams, Move Over, Millennials Here Comes Generation Z, 2015. [8] J. Swacha, “Gamification in Enterprise Information Systems: What, Why and How,” Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, vol. 8, pp. 1229-1233, Oct. 2016. https://doi.org/10.15439/2016f460 [9] S. Arai, K. Sakamoto, H. Washizaki and Y. Fukazawa, “A Gamified Tool for Motivating Developers to Remove Warnings of Bug Pattern Tools,” 2014 6th International Workshop on Empirical Software Engineering in Practice, Nov

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Tools and Services for High Performance Computing
Accounting Services for Heterogeneous Computing Resources

://jenkins.io / 16. ProM tool for Process Mining, http://www.processmining.org/ 17. Venkatram, K., M. Geetha. Review on Big Data and Analytics - Concepts, Philosophy, Process and Applications. - Cybernetics and Information Technologies, Vol. 17, 2017, No 2, pp. 3-27.

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Software Tool Implementing the Fuzzy AHP Method in Ecological Risk Assessment

Abstract

Due to the increased spread of invasive animals and plants in the territory of Latvia, the necessity of ecological risk assessment related to such kind of spread has grown lately. In cases with sufficient statistical data, the risk assessment may be successfully performed on the basis of statistical methods. The amount of statistical data in the context of spread of invasive animals and plants is pretty poor; therefore, the only method of ecological risk assessment remains subjective judgements of experts. The present paper proposes using a programming tool for ecological risk analysis elaborated by the authors. With the help of this programming tool the method of Fuzzy Analytical Hierarchical Process is implemented. The elements of the pairwise comparison matrix are allowed to be expressed by triangular and trapezoidal fuzzy sets. The presented tool makes it possible to design the fuzzy pair-wise comparison matrix and process the results in a user-friendly way.

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Bi-Level Optimization as a Tool for Implementation of Intelligent Transportation Systems

Abstract

The Intelligent Transportation System (ITS) is used as a term for integrating requirements and functionalities towards transportation systems, which in urban environment raises complex exploitation and control problems. Important part of the ITS is the control which has to be applied for traffic flows. The control processes are strongly linked with requirements and targets for optimization of the transportation behavior. The paper applies new optimization formal description of control by bi-level optimization. Except the trivial traffic lights control, the bi-level formalization allows additional traffic characteristics to be defined like maximal/minimal values. The paper defines, solves and provides numerical simulations for minimization of the vehicle queues in front of the traffic lights. Such bi-level optimization problem is applied simultaneously for maximization the traffic flows on arterial and important directions of the urban transportation network. The formal description of the bi-level problem is provided. The results of the bi-level control have been compared with the cases of single optimization of the vehicles queues. The simulation results prove that the bi-level problem gives benefits satisfying an additional goal, which improves additional characteristic of the transport behavior. The bi-level optimization formalism can be used as a tool for implementation of integration of ITS control policies.

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Reflections on Tools and Methods for Differentiated Assessments of Individual Scientists, Groups of Scientists and Scientific Journals

Requirements for research assessments There are huge differences in mission, emphasis, inherent capability, and targeted utilization of research among scientific institutions. Hence, when it comes to assessments, a one-size-fits-all approach cannot meet the goal(s) of these assessments. Probably even larger differences exist between individuals, research teams and departments. It is up to the research community to come up with objective, sound, reliable, easy to use, easy to understand, scalable, and sustainable methodologies, techniques, and tools for all

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Simplifying the Structural Complexity of Software Systems

References 1. Sommerville, I. Software Engineering. 10th Ed. New York, Pearson Education, 2015. 2. Bourque, P., R. Fairley. Guide to the Software Engineering Body of Knowledge. IEEE Computer Society, SWEBOK Version 3.0, 2014. 3. Storey, A. Tools and Research Methods in Program Comprehension: Past, Present and Future. – Software Quality Journal, Vol. 24 , 2016, No 1, pp. 187-208. 4. Hamou-Lhadj, A., T. Lethbridge. Understanding the Complexity Embedded in Large Routine Call Traces with a Focus on Program Comprehension Tasks. – IET Software

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