The International Arab Journal of Information Technology (IAJIT)

..............................
..............................
..............................


Formulation of Two-Stage Problem of Structural- Parametric Synthesis of Adaptive Electronic

The paper scrutinizers the options of optimization and adaption to the individual characteristics of users of Electronic Document Management Systems (EDMS). The problem solution requires further development of the necessary methods, models and criteria. Therefore, the article considers the problem of the structural-parametric synthesis of adaptive EDMS. On the basis of previously conducted research in this area, a new architecture of EDMS is developed, within which a mathematical model of adaptive EDMS is proposed. It includes the main components of the information system, as well as a set of estimates for a number of indicators: total discounted costs, productivity, software quality and, above all, adaptability to the requirements of the user. Using this mathematical model, a two-stage task of structural-parametric synthesis of an adaptive EDMS was set, at the first stage of which the system is synthesized according to the criterion of economic efficiency, and at the second stage the process happens according to its adaptation to each user. The scientific novelty of the proposed approach consists in dividing the optimization task into two stages such as the formalization of the criteria for adaptive EDMS and development of a new architecture and mathematical model of adaptive EDMS. The results can be used to solve problems of design, modernization and adaptation of various information systems.


[1] Abrahamsson P., Salo O., Ronkainen J., and Warsta J., “Agile Software Development Methods: Review and Analysis,” arXiv preprint arXiv:1709.08439, 2017.

[2] Bennaceur A. and Meinke K., Machine Learning for Dynamic Software Analysis: Potentials and Limits, Springer, 2018.

[3] Biamonte J., Wittek P., Pancotti N., Rebentrost P., Wiebe N. and Lloyd S., “Quantum machine learning. Nature,” Nature Publishing Group, vol. 549, no. 7671, pp. 195-202, 2017.

[4] Da Cruz A., “Use Case and User Interface Patterns for Data Oriented Applications,” in Proceedings of International Conference on Model-Driven Engineering and Software Development, Lisbon, pp. 117-133, 2014.

[5] Fernández-García A., Iribarne L., Corral A., Criado J., and Wang J., “A Recommender System for Component-Based Applications Using Machine Learning Techniques,” Knowledge-Based Systems, vol. 164, pp. 68-84, 2019.

[6] Firmenich D., Firmenich S., Rossi G., Winckler M., and Distante D., “User Interface Adaptation Using Web Augmentation Techniques: Towards a Negotiated Approach,” in Proceedings of International Conference on Web Engineering, Rotterdam, pp. 147-164, 2015.

[7] Karthiekheyan K., Ahmed I., and Jayalakshmi J., “Pair Programming for Software Engineering Education: An Empirical Study,” The Formulation of Two-Stage Problem of Structural-Parametric Synthesis of Adaptive ... 55 International Arab Journal of Information Technology, vol. 15, no. 2, pp. 246-255, 2018.

[8] Kashyap P., Machine Learning for Decision Makers, Apress, 2017.

[9] Katan S., Grierson M., and Fiebrink R., “Using Interactive Machine Learning to Support Interface Development through Workshops with Disabled People,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, pp. 251-254, 2015.

[10] Krasnyanskiy M., Obukhov A., Solomatina1 E., Skvortsov V., and Khvorov V., “Formalization of Document Management Using Multilevel Graph Model of Information Processing,” International Multidisciplinary Scientific Geo Conference, vol. 18, pp. 413-420, 2018.

[11] Krasnyanskiy M., Ostroukh A., Karpushkin S., and Obukhov A., “Formulation of the Problem of Structural and Parametric Synthesis of Electronic Document Management System of Research and Education Institution,” Global Journal of Pure and Applied Mathematics, vol. 12, no. 3, pp. 2395-2409, 2016.

[12] Kultsova M., Potseluico A., Zhukova I., Skorikov A., and Romanenko R., “A Two-Phase Method of User Interface Adaptation for People with Special Needs,” in Proceedings of Conference on Creativity in Intelligent Technologies and Data Science, Volgograd, pp. 805-821, 2017.

[13] Molnár B. and Benczúr A., “Modeling Information Systems from the Viewpoint of Active Documents,” Vietnam Journal of Computer Science, vol. 2, no. 4, pp. 229-241, 2015.

[14] Ndadji M. and Tchendji M., “A Software Architecture for Centralized Management of Structured Documents in a Cooperative Editing Workflow,” in Proceedings of Innovation and Interdisciplinary Solutions for Underserved Areas, Dakar, pp. 279-291, 2017.

[15] Paramonova I., “Electronic Document- Management Systems: A Classification and New Opportunities for A Scientific Technical Library,” Scientific and Technical Information Processing, vol. 43, no. 3, pp. 136-143, 2016.

[16] Park K. and Lee S., Requirements Engineering in the Big Data Era, Springer, 2015.

[17] Reenskaug T., “Models-views-controllers” Technical Report, University of Oslo, 1979.

[18] Sen A., Ghosh S., Kundu D., Sarkar D., and Sil J., “Study of Engineered Features and Learning Features in Machine Learning-A Case Study in Document Classification,” in Proceedings of International Conference on Intelligent Human Computer Interaction, Pilani, pp. 161-172, 2016.

[19] Shatnawi A. and Shatnawi R., “Generating A Language-Independent Graphical User Interfaces From UML Models,” The International Arab Journal of Information Technology, vol. 13, no. 3, pp. 291-296, 2016.

[20] Uqaili I. and Ahsan S., “Machine Learning Based Prediction of Complex Bugs in Source Code,” The International Arab Journal of Information Technology, vol. 17, no. 1, pp. 26-37, 2020.

[21] Verlan A., Sopel M., and Furtat J., “About the Organization of the Adaptive User Interface in Automated Systems,” Izvestiya SFedU. Engineering Sciences, vol. 1, no. 150, pp. 100- 110, 2014.

[22] Wang H., Tudorache T., Dou D., Noy N., and Musen M., “Analysis and Prediction of User Editing Patterns in Ontology Development Projects,” Journal on Data Semantics, vol. 4, no. 2, pp. 117-132, 2015.

[23] Yakovlev S. and Korsuntsev L., “Development of Adaptive Human-Machine Interface and the Criteria of Their Evaluation in Educational Systems,” Educational Technologies and Society, vol. 1, no. 16, 547-563, 2013. Artem Obukhov received his Ph.D. degree in technical sciences from Tambov State Technical University, Tambov, Russia, in 2016. Associate Professor. His research interests include computer-aided design of information systems, artificial intelligence, and system analysis. Mikhail Krasnyanskiy obtained Doctor of technical sciences in Processes and Apparatuses of Chemical Technologies, rector of Tambov State Technical University. His research interests include theory and methods of development of training and electronic document management systems. Denis Dedov received his Ph.D. degree in technical sciences from Tambov State Technical University, Tambov, Russia, in 2012. His research interests include developing of adapting training and information systems.