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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2019 - 20202

Налаштування

Автор: search.filters.author.Volovshchykov, Valeriy YuriyovichORCID: search.filters.orcid.https://orcid.org/0000-0002-8383-2675

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  • Ескіз
    Документ
    Technology of identifying antipatterns in Android projects written in Kotlin language
    (Національний технічний університет "Харківський політехнічний інститут", 2020) Malik, Ivan Yuriyovich; Volovshchykov, Valeriy Yuriyovich; Shapo, Vladlen Felixovitch; Grinchenko, Marina Anatoliyvna
    The problem of the lack of instruments for identifying the characteristics of low-quality code in Android projects that are written in the Kotlin language is determined. A review of modern approaches for identifying antipatterns in program code is accomplished. The analysis of the methods used to find problems with code in Android projects is performed. DECOR and Paprika approaches are considered. Conclusions are drawn about the importance of finding design flaws in program code for the mobile software development and its further support. An antipatterns identification approach for Kotlin language program code in Android projects is proposed. An algorithm for identifying low-quality Kotlin code is presented. The technology for detecting poor quality code characteristics consists of four stages: collecting metrics about an analyzed software system, building a quality model, converting a quality model into a graph representation, and identifying predefined antipatterns. The collection of metrics, including the search for both Androidspecific and object-oriented metrics of Chidamber and Kamerer, is proposed to be implemented through parsing source code and converting it into an abstract syntax tree using the KASTree library. The implementation of KASTree library usage is offered through the Adapter design pattern. The construction of a quality model is implemented using the Paprika tool, supplemented by a number of introduced metrics. Conversion of quality model exactly into graph representation is used to identify antipatterns in order to ensure the speed and quality of complex queries execution for identifying antipatterns. Antipatterns identification using database queries is based on various template rules, including the Catolino rules. Different features of applying the Cypher query language to a graph database are used to represent the rules in form of queries. Results of the work can be used in development of software for poor quality code identification in mobile applications written in Kotlin language, as well as in studies of mobile development antipatterns for this language.
  • Ескіз
    Документ
    Synthesis of local area network structure in uncertain conditions of initial information
    (НТУ "ХПІ", 2019) Mishchenko, Oryna Oleksiivna; Volovshchykov, Valeriy Yuriyovich; Shapo, Vladlen Felixovitch; Grinchenko, Marina Anatoliyvna
    The problem of taking into account the uncertainty of the initial information is identified in the tasks of the structure synthesis of local area networks. The analysis of the factors generating uncertainty is carried out, the sources of uncertainty are singled out and the approac hes to formalization and research of uncertainty are systematized. Probabilistic-statistical, interval, fuzzy and deterministic approaches were reviewed, as well as statistical, subjective, logical interpretations of probability and stochastic description, concept of interval-probabilistic approach, continuously determined and discretely determined models. The formulation of the problem was formed and it was proposed to apply the theory of fuzzy sets to formalize and study an uncertainty in synthesizing the structure of the local computing network, the main elements of which are user points, the centers of processing of the information, switching devices and communication channels. The implementation of information and computing works which sources are subs criber points, is assigned to the centers of information processing. It is assumed the popularity of volumes of information and computing works and geographical coordinates of the location of network elements. A model for a research problem based on a cost criterion has been developed. Cost parameters are divided into well-defined and having an uncertain nature. Fuzzyparameters are proposed to describe the membership functions of the form "approximately equal" or "is approximately in the interval". Restrictions on technical capabilities of information processing centers, switching devices, traffic in communication channels are singled out. The technology of model research based on the idea of solving the problems of linear programming in fuzzy statement is proposed. The technology provides the decision maker with information about the network structure, its cost and the level of ownership of the solution. The results of the work can be used in the analysis of approaches to solving problems of structural-topological synthesis of local area networks, design, development and implementation of appropriate software solutions.