About the Promising Directions of System Engineering Development
Abstract
Advanced system engineering should be based on interdisciplinary theory and focused on the systems of the future, becoming more intelligent, self-organizing, resource-efficient, safe and sustainable. As a result of the analysis of forecasts for the use of system engineering, it is proposed to revise and modify the existing scientific and technical views on the role and place of system engineering in Russia. The purpose of this work is to develop the promising directions for the development of system engineering in Russia for various fields of application. In the proposed modified view of the role and place of system engineering as paramount for any kind of systems throughout the life cycle are defined and detailed:
• promising directions for the development of existing system engineering for the effective application of the predicted achievements of science, technology and technologies, the development of which will allow obtaining a scientifically based answer to the question "How to achieve the required safety, quality, balanced effects and sustainable operation and development of the system?";
• purposeful steps applicable to the system as a whole, its elements or the set of the systems or elements under consideration when performing standard processes (wherever appropriate and applicable).
The implementation of the proposals will allow obtaining the output of standard processes using reasonable logical decisions, confirmed in the life cycle of various kinds of systems by predictive studies to achieve the required safety, quality, balanced effects and sustainable operation and development. A traceability of the effectiveness of scientific and technical system efforts from the plans to the final results will be ensured.
References
2. Kostogryzov A.I., Petukhov A.V., Shcherbina A.M. Osnovy ocenki, obespechenija i povyshenija kachestva vyhodnoj informacii v ASU organizacionnogo tipa [Fundamentals of Assessing, Ensuring and Improving the Quality of Output Information in an Organizational Type Automated Control System]. Armament. Policy. Conversion, Moscow; 1994. 278 p. (In Russ.)
3. Kostogryzov A.I., Lipaev V.V. Sertifikacija funkcionirovanija avtomatizirovannyh informacionnyh system [Certification of Functioning of Automated Information Systems]. Armament. Policy. Conversion, Moscow; 1996. 280 p. (In Russ.)
4. Kostogryzov A.I. Software Tools Complex for Evaluation of Information Systems Operation Quality (CEISOQ). Proceedings of the 34-th Annual Event of the Government Electronics and Information Association (GEIA). Engineering and Technical Management Symposium, USA, Dallas; 2000. p. 63-70. (In Eng.)
5. Bezkorovainy M.M., Kostogryzov A.I., Lvov V.M. Instrumental'no-modelirujushhij kompleks dlja ocenki kachestva funkcionirovanija informacionnyh sistem KOK [Instrumental-simulating complex for assessing the quality of functioning of KOC information systems]. Armament. Policy. Conversion, Moscow; 2002. 304 p. (In Russ.)
6. Kostogryzov A.I., Nistratov G.A. Standartizacija, matematicheskoe modelirovanie, racional'noe upravlenie i sertifikacija v oblasti sistemnoj i programmnoj inzhenerii [Standardization, Mathematical Modelling, Rational Management and Certification in the Field of System and Software Engineering]. Armament. Policy. Conversion, Moscow; 2005. 395 p. (In Russ.)
7. Kostogryzov A.I., Stepanov P.V. Innovacionnoe upravlenie kachestvom i riskami v zhiznennom cikle system [Innovative management of quality and risks in systems life cycle]. Armament. Policy. Conversion, Moscow; 2008. 404 p. (In Russ.)
8. Kostogryzov A.I. et al. Mathematical Models and Applicable Technologies to Forecast, Analyze, and Optimize Quality and Risks for Complex Systems. Proceedings of the First International Conference on Transportation Information and Safety (ICTIS). American Society of Civil Engineers, Wuhan, China; 2011. p. 845-854. (In Eng.) DOI: https://doi.org/10.1061/41177(415)107
9. Kostogryzov A., Nistratov G., Nistratov A. Some Applicable Methods to Analyze and Optimize System Processes in Quality Management. In: Ed. by T. Aized. Total Quality Management and Six Sigma. IntechOpen, London; 2012. p. 127-196. (In Eng.) DOI: http://dx.doi.org/10.5772/46106
10. Kostogryzov A., Grigoriev L., Nistratov G., Nistratov A., Krylov V. Prediction and Optimization of System Quality and Risks on the Base of Modelling Processes. American Journal of Operations Research. 2013; 3(1A):217-244. (In Eng.) DOI: https://doi.org/10.4236/ajor.2013.31A021
11. Abrosimov N.V. et al. Bezopasnost' Rossii. Pravovye, social'no-jekonomicheskie i nauchno-tehnicheskie aspekty. Nauchnye osnovy tehnogennoj bezopasnosti [Security of Russia. Legal, socio-economic, and scientific and technical aspects. Scientific bases of technogenic safety]. Ed. by N. A. Mahutov. Znanie publ., Moscow; 2015; 936 p. (In Russ.)
12. Sommerville I. Software Engineering. 9th Ed. Addison-Wesley; 2010. 792 p. (In Eng.)
13. Ghezzi C., Jazayeri M., Mandrioli D. Fundamentals of Software Engineering. 2nd Ed. Pearson; 2002. 604 p. (In Eng.)
14. Braude E.J., Bernstein M.E. Software Engineering: Modern Approaches. 2nd Ed. Wiley; 2010. 800 p. (In Eng.)
15. Abrosimov N.V. et al. Bezopasnost' Rossii. Pravovye, social'no-jekonomicheskie i nauchno-tehnicheskie aspekty. Tehnogennaja, tehnologicheskaja i tehnosfernaja bezopasnost' [Security of Russia. Legal, socio-economic, and scientific and technical aspects. Technogenic, technological and technosphere safety]. Ed. by N. A. Mahutov. Znanie publ., Moscow; 2018; 1016 p. (In Russ.)
16. Artemyev V., Kostogryzov A., Rudenko J., Kurpatov O., Nistratov G., Nistratov A. Probabilistic methods of estimating the mean residual time before the next parameters abnormalities for monitored critical systems. 2017 2nd International Conference on System Reliability and Safety (ICSRS). IEEE Press, Milan, Italy; 2017. p. 368-373. (In Eng.) DOI: https://doi.org/10.1109/ICSRS.2017.8272850
17. Kostogryzov A., Stepanov P., Nistratov A., Atakishchev O. About probabilistic risks analysis during longtime grain storage. In: Ed. by H. Zhang. Proceedings of the 2nd International Conference on the Social Science and Teaching Research (ACSS-SSTR). Vol. 18: Advances in Social and Behavioral Science. Singapore: Management and Sports Science Institute, PTE.Ltd.; 2017. p. 3-8.
18. Kostogryzov A., Atakishchev O., Nistratov A., Nistratov G., Klimov S., Grigoriev L. The method of rational dispatching a sequence of heterogeneous repair works. Energetica. 2017; 63(4):154-162. (In Eng.) DOI: https://doi.org/10.6001/energetika.v63i4.3624
19. Kostogryzov A., Stepanov P., Grigoriev L., Atakishchev O., Nistratov A., Nistratov G. Improvement of Existing Risks Control Concept for Complex Systems by the Automatic Combination and Generation of Probabilistic Models and Forming the Storehouse of Risks Predictions Knowledge. Proceedings of the 2nd International Conference on Applied Mathematics, Simulation and Modelling (AMSM). DEStech Publications Inc., Phuket, Thailand; 2017. p. 279-283. (In Eng.) DOI: https://doi.org/10.12783/dtetr/amsm2017/14857
20. Kostogryzov A., Atakishchev O., Stepanov P., Nistratov A., Nistratov G., Grigoriev L. Probabilistic modelling processes of mutual monitoring operators actions for transport systems. 2017 4th International Conference on Transportation Information and Safety (ICTIS). IEEE Press, Banff, AB, Canada; 2017. p. 865-871. (In Eng.) DOI: https://doi.org/10.1109/ICTIS.2017.8047869
21. Kostogryzov A., Panov V., Stepanov P., Grigoriev L., Nistratov A., Nistratov G. Optimization of sequence of performing heterogeneous repair work for transport systems by criteria of timeliness. 2017 4th International Conference on Transportation Information and Safety (ICTIS). IEEE Press Banff, AB, Canada; 2017. p. 872-876. (In Eng.) DOI: https://doi.org/10.1109/ICTIS.2017.8047870
22. Kostogryzov A., Grigoriev L., Golovin S., Nistratov A., Nistratov G., Klimov S. Probabilistic Modeling of Robotic and Automated Systems Operating in Cosmic Space. Proceedings of the International Conference on Communication, Network and Artificial Intelligence (CNAI). DEStech Publications Inc., Beijing, China; 2018. p. 298-303. (In Eng.) DOI: https://doi.org/10.12783/dtcse/cnai2018/24174
23. Kostogryzov A., Grigoriev L., Kanygin P., Golovin S., Nistratov A., Nistratov G. The Experience of Probabilistic Modeling and Optimization of a Centralized Heat Supply System Which is an Object for Modernization. International Conference on Physics, Computing and Mathematical Modeling (PCMM). DEStech Publications Inc., Shanghai; 2018. p. 93-97. (In Eng.) DOI: https://doi.org/10.12783/dtcse/pcmm2018/23643
24. Artemyev V., Rudenko J., Nistratov G. Probabilistic Methods and Technologies of Risk Prediction and Rationale of Preventive Measures by Using "Smart Systems": Applications to Coal Branch for Increasing Industrial Safety of Enterprises. In: Ed. by A. Kostogryzov. Probabilistic Modeling in System Engineering. IntechOpen, London; 2018. p. 23-51. (In Eng.) DOI: http://dx.doi.org/10.5772/intechopen.75109
25. Kershenbaum V., Grigoriev L., Kanygin P., Nistratov A. Probabilistic Modeling Processes for Oil and Gas. In: Ed. by A. Kostogryzov. Probabilistic Modeling in System Engineering. IntechOpen, London; 2018. p. 55-79. (In Eng.) DOI: http://dx.doi.org/10.5772/intechopen.74963
26. Kostogryzov A., Nistratov A., Nistratov G., Atakishchev O., Golovin S., Grigoriev L. The Probabilistic Analysis of the Possibilities to Keep "Organism Integrity" by Continuous Monitoring. Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018). Atlantis Press, Chengdu, China; 2018. p. 432-435. (In Eng.) DOI: https://doi.org/10.2991/mmsa-18.2018.96
27. Kostogryzov A., Korolev V. Probabilistic Methods for Cognitive Solving of Some Problems in Artificial Intelligence Systems. In: Ed. by A. Kostogryzov, V. Korolev. Probability, Combinatorics and Control. IntechOpen, London; 2019. p. 3-34. (In Eng.) DOI: http://dx.doi.org/10.5772/intechopen.89168
28. Kostogryzov A., Nistratov A., Nistratov G. Analytical Risks Prediction. Rationale of System Preventive Measures for Solving Quality and Safety Problems. In: Ed. by V. Sukhomlin, E. Zubareva. Modern Information Technology and IT Education. SITITO 2018. Communications in Computer and Information Science. 2020; 1201:352-364. Springer, Cham; 2020. (In Eng.) DOI: https://doi.org/10.1007/978-3-030-46895-8_27
29. Feller W. An Introduction to Probability Theory and Its Applications. Vol. 2. 2nd Ed. Willy; 1991. 704 p. (In Eng.)
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