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Item Open Access ARTIFICIAL AI IN TEST AUTOMATION: SOFTWARE TESTING OPPORTUNITIES WITH OPENAI TECHNOLOGY - CHATGPT(СДУ хабаршысы - 2023, 2023) Talasbek A.Abstract. One of the most important and significant stages of the software development life cycle is software testing. Automated testing reduces testing costs and increases productivity, resulting in a high-quality and stable end product. To ensure that software is bug-free and delivers the desired user experience, test automation is critical. As technology advances, test automation becomes more complex. However, advanced Al technologies will soon become commonplace thanks to powerful tools like ChatGPT that, among countless other things, can chat with you and teach you how to read and write code like a human. In this article, we will try to consider the possibilities of automation with chatgpt. Starting with writing test plans, and test scripts by using Python and Selenium WebDriver. How ChatGPT can improve our tasks and make them more feasible. By leveraging the capabilities of ChatGPT, software testing engineers can enhance their skills, improve testing capabilities, and achieve better quality and accuracy of test results. The opportunities presented by ChatGPT can lead to improved efficiency, productivity, and overall performance in the field of software testing engineering.Item Open Access ОБЗОР УГРОЗ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ В ПРЕДПРИЯТИИ(СДУ хабаршысы - 2020, 2020) Атымтаева Л. ; Баймуратов О. ; Хашимова Д.А.Аннотация. В данной статье представлены результаты анализа по выявлению групп угроз, специфичных для инфраструктуры и систем предприятии которое является одним из основных этапов в прогнозировании. Рассмотрены состояние информационной безопасности на предприятиях, проанализированы квалификации угроз безопасности и методов классификации, основанные на методах атак и на воздействии угроз. Оценены угрозы по безопасному использованию Интернета и взламыванию сайтов, краж данных, атакам фишинга и социальной инженерии; выявление угроз безопасности облачных вычислений, которые встречаются в интернет сетях предприятии. Изучены преимущества и недостатки Файрвол веб-приложений (WAF), который применяются для защиты атак, такие как DDoS-атаки, SQL-инъекции, межсайтовый скриптинг (XSS), и др. Представлены работы для обеспечения защиты с применением искусственного интеллекта и машинного обучения.Item Open Access IMPLEMENTING COURSE SCHEDULE GENERATION APPLICATION FOR UNIVERSITY(СДУ хабаршысы - 2021, 2021) Zhuniskhanov M. ; Suliyev R.Abstract. This work is about researching and implementing Course Schedule Generation Application for university. She compares other similar applications in this area and explores important points. Through UML diagrams, important concepts and development progress are explained. Screenshots of using the application will also be provided. Dataset, configuration and rules explained. In the end, we will talk about the importance of such an application and facilitate planning for the university.Item Open Access БЕЙНЕ ОЙЫНДАРҒА СGІ-ДЫҢ ӘСЕРІ ЖӘНЕ ОНЫҢ ЖАСАЛУ ӘДІСТЕРІ(СДУ хабаршысы - 2021, 2021) Баймуратов O. ; Төлебай Б.А.Аңдатпа - Қазіргі таңда кен етек алған СGІ/Компьютерлік графиканың бейнеойын саласына әсері мен оны жасаудағы әдістері, оның маңыздылығын және оның қалай бағалануы керектігі мақалада көрсетілді. Автордың қазіргі жасап жатырған “Тоғызқұмалақ 3D” ойынының графикалық элементтері негізге алынған. Мәселені шешу жолында пентагондық шама бойынша бағалау, 3DS Мах бағдарламасының көмегімен моделдеу, жарық беру әдістері қолданылып көрсетілді.Item Open Access TELEGRAM BOT(СДУ хабаршысы - 2019, 2019) Kabdushev Y.M.Abstract. As we all know bots, robots simplify human life. Now, as the age of technology, heaped robots are being created every day to make life easier for mankind. The use of robots has spread so that now almost every school has robots. People began to arrange robots fights, once it was just a dream, and now every region of Kazakhstan can conduct their robot fights. Today it is modern to use bots in web pages. They replace operators who needed rest, sleep, food, and so on. Bots, on the contrary, they do not need worldly desires. Messengers are messaging between users. One of the first online messengers was “ICQ”, where people could only exchange messages. Now in the market of online messengers is leading "WhatsApp". With the help of “WhatsApp” we can not only exchange messages, but also make video calls. Thanks to P. Durov and his team, we can now use both the bot and online messenger together.Item Open Access PRINCIPAL COMPONENT ANALYSIS AND A MULTILINGUAL CONSTRUCT TO DETERMINE THE UNDERGRADUATE MAJOR SELECTION FACTORS(СДУ хабаршысы - 2020, 2020) Assanbayeva G. ; Kadyrov Sh.Abstract. In this article, we review mathematics behind well-known Principal Component Analysis from Linear Algebra implemented in various applied fields. As an application, we develop a construct to measure factors that affect college students in their major selection. This is a multilingual construct given in three languages, namely Kazakh, Russian, and English. To this end, we prepare a survey consisting of 27 Likert scale items in three languages and it is conducted among 314 undergraduate students in Kazakhstan. For dimensionality reduction, Principal Component Analysis is carried in python programming language which resulted in 9 major scales with only 22 elements. The overall reliability of the test is calculated to be 0,856. The nine scales are the effect of Uniform National Testing, state grant affect, personal interest affect, skills affect, occupation salary affect, teacher affect, external affect, university cost affect, parent’s affect.Item Open Access KAZAKH HANDWRITING RECOGNITION(СДУ хабаршысы - 2023, 2023) Bazarkulova A.; Mutalivev Y.; Chazhabayev A.; Telman D. ; Bazarkulova D.Abstract. Recognition of handwritten text is one aspect of object recognition and known as handwriting detection cause of a computer’s potential to recognize and comprehend readable handwriting from resources including paper files, touch smart devices, images, etc. Data is categorized into a number of classes or groups using pattern recognition. The paper presents a successful experiment in recognizing handwritten Kazakh text using Convolutional Recurrent Neural Network based architectures and the Kazakh Autonomous Handwritten Text Dataset. The proposed algorithm achieved an overall accuracy of 86.36% and showed promising results. However, the paper suggests that further research could be conducted to improve the model, such as correlating and enlarging the database or incorporating other models and libraries. Additionally, the paper emphasizes the importance of considering language specifics when building a text recognition model, as modern algorithms that work well in one language may not guarantee the same performance in another.Item Open Access О ГРУППОВЫХ РЕШЕНИЯХ В ЗАДАЧАХ РАСПОЗНАВАНИЯ ОБРАЗОВ(Suleyman Demirel University, 2016) Амиргалиев Е. ; Айтбаев Е.Статья посвящена теме использования моделей коллективного принятия решений в автоматизированных интеллектуальных системах. Рассматривается применение данных моделей для решения задач распознавания образов. Под коллективным распознаванием подразумевается задача использования множества классификаторов, каждый из которых принимает решение о классе одной сущности с последующим согласованием решений с помощью некоторого алгоритма. Рассмотрены правила интеграции частных решений независимых экспертов (алгоритмов). Таким образом, объединение решений представляет собой специальную проблему в области распознавания и классификации, которая не сводится к обычной задаче классификации (с одним классификатором). Она подлежит дальнейшему углубленному исследованию, а ее использование на практике может привести к качественно лучшим свойствам систем классификации, которые используют идею совместного использования множества классификаторов, формирующих коллективное решение.Item Open Access TIME SERIES ANALYSIS TO FORECAST COVID-19 CASES IN CENTRAL ASIA(СДУ хабаршысы - 2021, 2021) Tabarek R. ; Murat B. ; Kaiyr A. ; Smadyarov N. ; Issa D.Abstract. According to the study, the cases are expected to increase in the upcoming days. An exponential rise in the number of cases is also noticeable in a time series analysis. The current forecast models are expected to help the government and medical professionals plan for future circumstances and enhance healthcare system readiness. The proposed study employs a support vector regression model for forecasting the overall number of deaths, recovered cases, cumulative number of reported cases, and regular case count. The starting information is retrieved from the Ist of March to the 30th of April, 2021 (61 Days). The model predicts deaths, recoveries, and the total number of confirmed cases with an accuracy of over 97 percent, and regular new cases with an accuracy of 87 percent. The findings point to a Gaussian reduction in the number of cases, which may take another 3 to 4 months to reach the bare minimum of no new cases registered.Item Open Access ПРЕОБРАЗОВАНИЕ БАНКА В ОТКРЫТУЮ ЭКОСИСТЕМУ API(СДУ хабаршысы - 2020, 2020) Жолдасов Б.К. ; Рысмендеева Г.С.Аннотация. Работа посвящена преобразованию банка в открытую экосистему API. В статье будет рассматриваться факторы внедрения открытой экосистемы API в банки, связанные с этим возможности и банковской отрасли и описываются успешные API стратегии.