Перегляд за Автор "Stratiienko, Nataliia Kostiantunivna"
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Документ Algorithmic support for multicriteria assessment of retail information systems(Національний технічний університет "Харківський політехнічний інститут", 2021) Bieliaiev, Oleksandr Ihorovych; Liutenko, Iryna Victorivna; Stratiienko, Nataliia KostiantunivnaThis article is devoted to the issues of assessing the effectiveness of information systems for enterprises engaged in retail trade in consumer goods. This article describes the tasks that the retail FMCG trade, as well as the functions of the retail trade, solve. The features of the subject area were considered, which will form the basis for the formation of scales for assessing the effectiveness of information systems. The priorities, tasks, and features of the business model of enterprises engaged in retail trade in consumer goods, depending on the market segment they occupy. Various types of corporate information systems that can be used in retail trade are considered. The analysis of the subject area made it possible not on ly to determine important metrics for assessing the effectiveness of information systems but also to determine the priority of the requirements for the availability of certain functionality in the information system from each business segment, large, medium and small. Also, the existing standards in the subject areas of software development and enterprise organization were considered. This article proposes a methodology for evaluating information systems for enterprises engaged in consumer goods retail trade that belong to different market segments. The proposed methodology is based on the approach of multi-criteria expert assessment. An example of linguistic variables for one of the questions of the questionnaire for experts is given. The order of operation of the expert system is also presented in the form of an activity diagram. The developed expert information system can be monetized by providing referral links to the products of companies supplying information systems for retail. In the future, it is planned to add the ability for qualified experts to select combination of metrics for assessment, as well as change the assessment scale to increase accuracy.Документ Assessment IT project software reliability based on static models of Corcoran and Nelson(ТОВ "Планета-Прінт", 2021) Bilous, I. S.; Stratiienko, Nataliia KostiantunivnaДокумент Assessment it project software reliability based on static models of corcoran and nelson(ТОВ "Планета-Прінт", 2021) Bilous, I. S.; Stratiienko, Nataliia KostiantunivnaДокумент Automation of the process of forming of an IT-project team based on competency model (using logistics network project development as an example)(NTU "KhPI", 2017) Bilokon, O. M.; Stratiienko, Nataliia KostiantunivnaДокумент Evaluation of IT project risks: process automation(Національний технічний університет "Харківський політехнічний інститут", 2020) Myrko, P. O.; Stratiienko, Nataliia KostiantunivnaДокумент Guidance for course work on "Algorithms and Data Structures"(2016) Stratiienko, Nataliia Kostiantunivna; Shmatko, O. V.; Borodina, I. O.Guidance for course work on "Algorithms and Data Structures" is a part of methods of the course "Algorithms and Data Structures". Course work is performed in 3 semester. The course work must consolidates theoretical knowledge and practical skills obtained in the study of lecture and practical parts of the course. The guidance covers the key issues related to the course work, the processing of explanatory notes to course work, and the defense of student work.Документ Guidance for laboratory works on "Algorithms and Data Structures"(2018) Stratiienko, Nataliia Kostiantunivna; Kozina, Olga Andriivna; Borodina, I. O.Methodical instructions for laboratory work on the course "Algorithms and Data Structures" are part of the general methods of the course "Algorithms and Data Structures", which is taught for students of specialty 121 "Software Engineering" in the 2nd semester. The purpose of the laboratory work is to consolidate and deepen the theoreti-cal knowledge gained during the study of the lecture part of the course, to acquire sustainable practical skills in the organization and use of dynamic data structures for solving problems when creating software, studying the most common algorithms for solving problems using complex data structures. The methodical instructions contain the task for 11 laboratory works and the theoretical material necessary for their implementation, as well as the options for tasks for each work.Документ Information technology for IT personnel assessment(Національний технічний університет "Харківський політехнічний інститут", 2020) Kustov, H. M.; Stratiienko, Nataliia KostiantunivnaДокумент IT-startup: defining of an organization structure(Національний технічний університет "Харківський політехнічний інститут", 2022) Arseniuk, D. V.; Stratiienko, Nataliia KostiantunivnaДокумент Model of primary pivots' prioritization in startups(NTU "KhPI", 2017) Kozina, Olga Andriivna; Stratiienko, Nataliia KostiantunivnaImportance and useful of primary pivots prioritization is grounded. It is shown that the selection of pivots is part of the experiment to confirm or disprove the primary hypotheses about the effect of the selected parameters on the development of the project. An analytical review of the methods for primary hypotheses formulating is carried out. The disadvantages of some methods of pivots prioritizing are analyzed. The necessity of separate preparation of hypotheses having qualitative and quantitative estimations of stakeholders is considered. A model-scheme of distinguish primary pivots on a set of static and dynamic ones is developed. Possibility to change the method of prioritizing pivots in next phases of the life cycle of a startup is accented.Документ Problem of classification of semantic kernels of web resource(Національний технічний університет "Харківський політехнічний інститут", 2022) Orekhov, Sergey Valerievich; Malyhon, Hennadiy Vasilievich; Stratiienko, Nataliia KostiantunivnaThe article presents a new theoretical basis for solving the problem of situational management of semantic cores identified on the basis of WEB content. Such a task arises within the framework of a new phenomenon called virtual promotion. Its essence lies in the fact that a real product can exist in two realities: online and offline. According to marketing theory, the lifetime in two realities is the same. However, in the online mode, the goods exist independently and in accordance with the laws of the use of Internet technologies. Therefore, based on the concept of a marketing channel, it was proposed to consider a message in such a channel as a semantic core. The core is a specially selected set of keywords that briefly describe the product and the corresponding need. It has been proposed that each need forms a so-called class of need. Therefore, the product description will either belong to this class or not. In addition, a product can be described by a different set of keywords, which means that different descriptions of the same product or several products, if there are any for sale in the enterprise, will fall into the demand class. As a result, in this work, it was proposed to consider the center of this class as the so-called K-candidate. It is the K-applicant that will be the semantic core that will be considered at the current iteration of the situational management process. In addition, in order to move from one situation to another, in other words, from one core to another, it is required to have such an alternative core. It can be safely taken either from the neighborhood of the need class center (K-applicant), or the center of another class (another K-applicant), if the product can cover several needs of a potential buyer. Then the actual task is to classify the classes of needs based on the text corpus in HTML format. Having a text corpus at the first stage, the task of synthesizing semantic cores is realized, and then the classification task itself. This article proposes the formulation of the classification problem, taking into account the features that the Internet technologies contribute to search engine optimization. In particular, it is proposed to use four metrics from the category of WEB statistics. And then it is proposed to use the clustering method to identify classes of needs, taking into account the fact that the K-applicant is presented as a semantic network or as a graph.Документ Specifics of software project management in IT(ТОВ "Планета-Прінт", 2021) Laktionov, S. Y.; Stratiienko, Nataliia Kostiantunivna