Кафедра "Програмна інженерія та інтелектуальні технології управління ім. А. В. Дабагяна"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/1665

Офіційний сайт кафедри http://web.kpi.kharkov.ua/asu

Від січня 2022 року кафедра має назву "Програмна інженерія та інтелектуальні технології управління ім. А. В. ДАБАГЯНА" (тоді ж, у січні 2022 року в окремий підрозділ виділилася кафедра "Інформаційні системи та технології"), попередні назви – "Програмна інженерія та інформаційні технології управління" (від 2015), "Автоматизовані системи управління" (від 1977); первісна назва – кафедра автоматичного управління рухом.

Кафедра автоматичного управління рухом заснована в 1964 році задля підготовки інженерів-дослідників у галузі автоматичного управління рухом з ініціативи професора Харківського політехнічного інституту Арега Вагаршаковича Дабагяна та генерального конструктора КБ "Електроприладобудування" Володимира Григоровича Сергєєва.

Кафедра входить до складу Навчально-наукового інституту комп'ютерних наук та інформаційних технологій Національного технічного університету "Харківський політехнічний інститут".

У складі науково-педагогічного колективу кафедри працюють: 4 доктора технічних наук; 24 кандидата наук: 22 – технічних, 1 – фізико-математичних, 1 – економічних, 1 – доктор філософії; 3 співробітників мають звання професора, 19 – доцента, 1 – старшого наукового співробітника.

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Methodical recommendations for the structure and content of Master's theses
(National Technical University "Kharkiv Polytechnic Institute", 2024) Kopp, A. M. ; Moskalenko, V. V.; Cherednichenko, О. U.; Litvinova, U. S.
Methodical recommendations for the structure and content of Bachelor's theses
(National Technical University "Kharkiv Polytechnic Institute", 2024) Kopp, A. M.; Moskalenko, V. V.; Cherednichenko, О. U.; Litvinova, U. S.
The methodical recommendations contain a description of the require ments for the mandatory structure and the minimum content of the explanatory notes for Bachelor’s theses of students studying in speciality 122 "Computer Sci ence" on the study programme "Computer Science and Intelligent Systems".
An approach to the implementation of a competency-based approach in the learning management system
(Національний авіаційний університет, 2023) Kopp, A. M.; Parashchych, Mykyta; Zviertsev, Herman; Motalyhin, Y. Y.; Strelnikova, Anna
This paper solves the urgent problem of improving the tracking of the process of acquiring competencies by students through the means of analyzing the learning management system data and visualizing the results of the learning process. The object of the study is to track the process of acquiring competencies by students. The subject of the study includes software components for the implementation of a competency-based approach in the learning management system. The purpose of the study is to improve the tracking of the process of acquiring competencies by students by analyzing the data of the Learning Management System (LMS) and visualizing the results of the learning process. Thus, to achieve this goal, we analyzed the technologies for processing learning data from LMS, analyzed the features of modeling the learning process based on Petri nets and BPMN (Business Process Model and Notation), determined a data structure, and proposed an algorithm for building a model and visualizing the learning process data. The developed software components allow processing of learning process data from LMS, building models and visualizations of learning process data, saving the results to data warehouses, depicting the learning process model, and visualizing learning process data for further analytical processing.
An approach to the translation of natural language business rules into sql table constraints
(2021) Orlovskyi, D. L.; Kopp, A. M.
Making data storages decentralized: an idea of smart contracts generation from relational database tables
(2021) Kopp, A. M.; Orlovskyi, D. L.
An approach to build a decentralized collection of business process models
(Publisher Individual entrepreneur Picha Y. V., 2021) Kopp, A. M.; Orlovskyi, D. L.; Orekhov, Sergey Valerievich
In this study we have proposed the approach to organization of decentralized blockchain-based business process model repository that could be used to provide secure software solution to store and access the business process model collection in a tamper-resistant manner.
Towards the alignment between database security framework and business process maturity model
(Одеська національна академія харчових технологій, 2021) Kopp, A. M.; Orlovskyi, D. L.
This paper considers the extension and improvement of database security framework by means of its alignment with business process maturity model in order to provide the holistic tool for organizations that are planning to establish a database security system, as well as to assess and ensure its quality using the well-known scale of maturity levels.
Towards an approach to decentralized storage and exchange of business process models
(2021) Kopp, A. M.; Orlovskyi, D. L.
This paper proposes an approach to decentralized storage and exchange of business process models using the blockchain technology and tokenization approach. There was proposed an idea of the Ethereum smart contract that implements the non-fungible token extended with syntactic and semantic properties, which can be used to evaluate quality and estimate value of tokenized business process models.
General Issues of Applications Architecture Domain Design
(2021) Kopp, A. M.; Orlovskyi, D. L.; Ersoyleyen, D.
Applications architecture domain as a part of enterprise architecture is the baseline of any organizational activity, which main goal is to provide the executional environment for business processes in order to deliver products or services to satisfy customer needs and generate revenue. Nowadays, software engineering projects always begin with the architecture design phase, despite the waterfall or agile methodology is used by a software development team. Applications architecture design is the most important and, at the same time, the most error-prone stage of the whole software engineering project. It is well-known,that design shortcomings made on the applications design phase may increase drastically to testing and maintenance phases. Further costs to defects fixing may be hundred times higher in the later project stages in compare to the design stage on which applications architecture is defined.
An Approach and Software Prototype for Translation of Natural Language Business Rules into Database Structure
(CEUR Workshop Proceedings, 2021) Kopp, A. M.; Orlovskyi, D. L.; Orekhov, Sergey Valerievich
In the recent decades data has indeed become one of the most valuable assets for government institutions, private businesses, and individual persons. Nowadays almost any software, from social networks and dating mobile applications to large information systems and analytical services for enterprise management, accumulates, stores, and processes data to solve certain problems in their subject areas. Extremely large data volumes are organized in databases that are used as the baseline for almost all of modern software applications. As the most important components of software systems, databases should be carefully designed, since drawbacks at the stage of requirements elicitation may result in exponential growth of defects fixing costs at testing and maintenance phases. Therefore, this study proposes an approach and software tool to database schema generation from textual requirements also known in database design domain as business rules. This may help database designers to rapidly obtain usable database schemas in order to detect and fix defects as early as possible. Moreover, proposed solution may simplify the database design process, since database creation scripts are generated from business rules directly. Thus, instead of coding all the required statements, engineers are only need to check obtained schema and make certain adjustments to data types, unique attributes, or used naming style. This research considers relational model and relational databases, since they are most widely used nowadays. State-of-the-art analysis is made, proposed approach is described in details, software tool with its brief usage examples is described, conclusions are made, and further research directions are formulated.