

Management of a modern IT company: theoretical and technological aspects
The object of the study is the processes of functioning and maintenance, which together determine the stage of operation of a web-based information system for managing an enterprise or organization.
During the study, the problem of developing elements of the methodology for lifecycle management of a web-based information system was solved. Modern research in this area is mainly aimed at analyzing and developing individual aspects of managing the operation of complex systems. The main attention is paid to solving individual tasks of managing the operation of systems based on IoT or DevOps. General issues of creating and improving the System Lifecycle Management approach remain little studied.
During the study, the main provisions of the effective management concept of the life cycle of a web-based information system were proposed. This concept is based on a multi-level representation of the information system and the possibility of effective management of the system according to its properties. For further formal description of the proposed concept, the main concepts were defined and the ontology of this concept was developed. Based on this ontology, a generalized model of effective management of the operation of a web-based information system and a set of theoretical and categorical models that detail the description of the elements of this model were developed.
The resulting generalized model was taken as a basis for developing a formal problem statement of effective life cycle management of an operated information system as an IT service system. A formal description of the objective function and constraints of the problem of classical (permanent) life cycle management of an operated information system was proposed. On its basis, a formal description of the objective function and constraints of the problem of effective life cycle management of an operated web-based information system was proposed. It was determined that the problem of classical (permanent) life cycle management of an operated information system is a special case of the proposed problem of effective management.
The practical application of the obtained research results allows improving systems for life cycle management of an operated information system without global reengineering of existing systems and technologies for data storage and processing.
Doctor of Technical Sciences, Professor
Department of Information Control System
https://orcid.org/0000-0002-7929-515X
Doctor of Technical Sciences, Professor
Department of Information Control System
https://orcid.org/0000-0002-6703-5166
Corresponding author
maksym.ievlanov@nure.ua
Senior Researcher
Department of Information Control System
https://orcid.org/0000-0002-1319-5041
Senior Researcher, Leading Engineer
Department of Information Control System
https://orcid.org/0000-0001-6936-6543
What is Web (Based) Information System. IGI Global. Available at: https://www.igi-global.com/dictionary/web-based-information-system/32189#:~:text=An%20information%20system%20that%20utilizes,or%20other%20information%20systems%2Fapplications
Fulton, J. (2017). Web Architecture 101. Medium. Available at: https://medium.com/storyblocks-engineering/web-architecture-101-a3224e126947
ISO/IEC 20000-1. Information technology – Service management – Part 1: Service management system requirements (2018). Geneva: ISO Copyright Office, 96.
ISO/IEC/IEEE Standard No 15288:2015 (2015). Systems and software engineering – System life cycle processes. ISO/IEC/IEEE International Standard. https://doi.org/10.1109/IEEESTD.2015.7106435
Levykin, V. M., Evlanov, M. V., Kernosov, M. A. (2014). Patterny proektirovaniia trebovanii k informatcionnym sistemam: modelirovanie i primenenie. Kharkiv: OOO “Kompanіia “Smіt”, 320.
Levykin, V., Ievlanov, M., Levykin, I., Рetrychenko, O. (2025). Development of a concept for the task of life cycle effective management of an operated information system. Technology Audit and Production Reserves, 2 (2 (82)), 66–73. https://doi.org/10.15587/2706-5448.2025.326479
Stark, J. (2020). Product Lifecycle Management (Vol. 1). Cham: Springer International. https://doi.org/10.1007/978-3-030-28864-8
Schwaber, C. (2006). The Changing Face of Application Life-Cycle Management. Forrester Research Inc. Available at: https://www.yumpu.com/en/document/view/13866040/download-the-changing-face-of-application-life-cycle-mks
Wyrwich, F., Kharatyan, A., Dumitrescu, R. (2024). Interdisciplinary system lifecycle management – a systematic literature review. Proceedings of the Design Society, 4, 2765–2774. https://doi.org/10.1017/pds.2024.280
Rizzo, S. (2016). Why ALM and PLM need each other. Siemens Whitepaper. Available at: https://polarion.plm.automation.siemens.com/hubfs/Docs/Whitepapers/why-alm-and-plm-need-each-other-whitepaper.pdf
Liepert, C., Stary, C., Lamprecht, A., Zügn, D.; Elstermann, M., Lederer, M. (Eds.) (2025). Interoperable Product Change Management Within Engineering: A Digital Twin Approach. Subject-Oriented Business Process Management. Models for Designing Digital Transformations. S-BPM ONE 2024. Communications in Computer and Information Science. Vol. 2206. Cham: Springer. https://doi.org/10.1007/978-3-031-72041-3_17
Chappell, D. (2010). What is Application Lifecycle Management? David Chappell and Associates. Available at: http://davidchappell.com/writing/white_papers/What_is_ALM_v2.0--Chappell.pdf
Eigner, M. (2021). System Lifecycle Management: Digitalisierung des Engineering. Berlin, Heidelberg: Springer Vieweg. https://doi.org/10.1007/978-3-662-62183-7
Binder, C., Neureiter, C., Lüder, A. (2022). Towards a domain-specific information architecture enabling the investigation and optimization of flexible production systems by utilizing artificial intelligence. The International Journal of Advanced Manufacturing Technology, 123 (1-2), 49–81. https://doi.org/10.1007/s00170-022-10141-2
Colantoni, A., Berardinelli, L., Garmendia, A., Bräuer, J. (2022). Towards Blended Modeling and Simulation of DevOps Processes: the Keptn Case Study. MODELS '22: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, Association for Computing Machinery. New York, 784–792. https://doi.org/10.1145/3550356.3561597
Gulzar, K., Ruusu, R., Sierla, S., Aarnio, P., Karhela, T., Vyatkin, V. (2018). Automatic Generation of a Lifecycle Analysis Model from a First Principles Industrial Process Simulation Model. 2018 IEEE 16th International Conference on Industrial Informatics (INDIN). Danvers, 741–746. https://doi.org/10.1109/indin.2018.8471980
Calderon, N. N., Kajko-Mattsson, M., Nolan, A. J. (2015). Successful process improvement projects are no accidents. Journal of Software: Evolution and Process, 27 (11), 896–911. https://doi.org/10.1002/smr.1738
Reiff-Marganiec, S., Tilly, M. (Eds.) (2012). Handbook of Research on Service-Oriented Systems and Non-Functional Properties: Future Directions. IGI Global. https://doi.org/10.4018/978-1-61350-432-1
Driss, M., Aljehani, A., Boulila, W., Ghandorh, H., Al-Sarem, M. (2020). Servicing Your Requirements: An FCA and RCA-Driven Approach for Semantic Web Services Composition. IEEE Access, 8, 59326–59339. https://doi.org/10.1109/access.2020.2982592
Kienzle, J., Combemale, B., Mussbacher, G., Alam, O., Bordeleau, F., Burgueno, L. et al. (2022). Global Decision Making Over Deep Variability in Feedback-Driven Software Development. Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering. New York. https://doi.org/10.1145/3551349.3559551
Moosbauer, J., Binder, M., Schneider, L., Pfisterer, F., Becker, M., Lang, M. et al. (2022). Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Transactions on Evolutionary Computation, 26 (6), 1336–1350. https://doi.org/10.1109/tevc.2022.3211336
Garouani, M., Ahmad, A., Bouneffa, M., Hamlich, M., Bourguin, G., Lewandowski, A. (2022). Using meta-learning for automated algorithms selection and configuration: an experimental framework for industrial big data. Journal of Big Data, 9 (1). https://doi.org/10.1186/s40537-022-00612-4
Bush, B., Stright, D., Huggins, J., Newes, E. (2022). Simulation process and data flow for a large system dynamics model. Simulation, 98 (9), 823–833. https://doi.org/10.1177/00375497221093381
Ebert, C. (2013). Improving engineering efficiency with PLM/ALM. Software & Systems Modeling, 12 (3), 443–449. https://doi.org/10.1007/s10270-013-0347-3
Deuter, A., Imort, S. (2020). PLM/ALM Integration With The Asset Administration Shell. Procedia Manufacturing, 52, 234–240. https://doi.org/10.1016/j.promfg.2020.11.040
Deuter, A., Otte, A., Höllisch, D. (2017). Methodisches Vorgehen zur Entwicklung und Evaluierung von Anwendungsfällen für die PLM/ALM-Integration. Wissenschaftsforum Intelligente Technische Systeme (WInTeSys). Paderborn, 211–222. https://doi.org/10.17619/UNIPB/1-93
Petrichenko, O. V. (2021). Improving enterprise IT-service management methodology. Management Information System and Devises, 177, 4–12. https://doi.org/10.30837/0135-1710.2021.177.004
Date, C. J. (2003). Introduction to Database Systems. Pearson, 1040.
Dilovi tranzaktsii. Microsoft Build. Available at: https://docs.microsoft.com/uk-ua/dynamics365/project-operations/psa/basic-business-transactions
Tanenbaum, A., Wetherall, D. (2010). Computer Networks. Pearson, 960.
Fleishman, B.; Patten, B., Jorgenson, S. (Eds). (1995). Stochastic Theory of Complex Ecological Systems. Complex Ecology. New Jersey: Prentice Hall PTP, Prentice Hall Inc, 166–224.
Kanaga Priya, P., Reethika, A.; Mishra, A., El Barachi, M., Kumar, M. (Eds.) (2024). A Review of Digital Twin Applications in Various Sectors. Transforming Industry using Digital Twin Technology. Cham: Springer, 239–258. https://doi.org/10.1007/978-3-031-58523-4_12
Guinea-Cabrera, M. A., Holgado-Terriza, J. A. (2024). Digital Twins in Software Engineering – A Systematic Literature Review and Vision. Applied Sciences, 14 (3), 977. https://doi.org/10.3390/app14030977
Ievlanov, M. V., Neumyvakina, O. E., Karamysheva, A. Iu. (2012). Global goals of IT-services supplier and consumer. Eastern-European Journal of Enterprise Technologies, 5 (2 (59)), 12–17. Available at: https://journals.uran.ua/eejet/article/view/4137
ISO/IEC/IEEE Standard No 15504-5 (2012). Information technology – Process assessment – An exemplar software life cycle process assessment model ISO/IEC/IEEE International Standard.
ISO/IEC/IEEE Standard No 33061 (2021). Information technology – Process assessment – Process assessment model for software life cycle processes. ISO/IEC/IEEE International Standard.
Mesquida, A. L., Mas, A.; O‘Connor, R. V., Pries-Heje, J., Messnarz, R. (Eds.) (2011). ISO/IEC 15504-5 Best Practices for IT Service Management. Systems, Software and Service Process Improvement. Springer 14–24. https://doi.org/10.1007/978-3-642-22206-1_2
Jung, H.-W., Ting, K.-F. (2017). An empirical evaluation of ISO/IEC 15504-5 capability measures: Reflective or formative. Computer Standards & Interfaces, 53, 123–130. https://doi.org/10.1016/j.csi.2017.03.002
Monla, Z., Assila, A., Beladjine, D., Zghal, M.; De Paolis, L. T., Arpaia, P., Sacco, M. (Eds.) (2023). A Conceptual Framework for Maturity Evaluation of BIM-Based AR/VR Systems Based on ISO Standards. Extended Reality. Springer, 139–156. https://doi.org/10.1007/978-3-031-43401-3_9
Zimmermann, T. C., Konietzko, E., Lindow, K. (2024). Graph-based Parameter Management for Configuration Controlled Multi-level Modeling of Cyber-physical Systems. 2024 19th Annual System of Systems Engineering Conference (SoSE). Tacoma, 270–274. https://doi.org/10.1109/sose62659.2024.10620964
Katzung, S., Cinkaya, H., Kizgin, U. V., Savinov, A., Baschin, J., Vietor, T. (2024). AI-based analysis and linking of technical and organisational data using graph models as a basis for decision-making in systems engineering. Proceedings of the Design Society, 4, 2625–2634. https://doi.org/10.1017/pds.2024.265
Rostami, K., Stammel, J., Heinrich, R., Reussner, R. (2017). Change Impact Analysis by Architecture-based Assessment and Planning. Lecture Notes in Informatics, Proceedings – Series of the Gesellschaft fur Informatik. Hannover, 267, 69–70.
Rostami, K., Heinrich, R., Busch, A., Reussner, R. (2017). Architecture-Based Change Impact Analysis in Information Systems and Business Processes. 2017 IEEE International Conference on Software Architecture (ICSA). Gothenburg, 179–188. https://doi.org/10.1109/icsa.2017.17

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