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RESEARCH OF CLOUD TESTING METHODOLOGY SOFTWARE

15.09.2025 13:10

[1. Systemy i technologie informacyjne]

Автор: Volodymyr Tokariev, PhD, Associate Professor of the department of Information systems, Simon Kuznets Kharkiv national university of economics; Denys Shvarov, master, department of Information systems, Simon Kuznets Kharkiv national university of economics


ORCID: 0000-0002-7143-6165 Volodymyr Tokariev

The most important task of a modern vendor of an IT company engaged in the development and sale of software is to reduce non-production costs, including the maintenance and servicing of its own IT infrastructure. One of the most effective ways to solve this problem is to switch to the use of cloud services. Cloud computing is the latest computing standard that is widely used to support software design tasks, including testing. As practice shows, such an IT direction as cloud testing helps to meet the needs of software vendors for hardware and software resources through the use of a flexible and relatively inexpensive cloud platform for testing.

However, it is important to note that to implement the wide capabilities of cloud testing, it is necessary to use an effective testing methodology. Testing methodology is a conceptual framework applicable to organizational testing processes, test management processes and / or dynamic testing processes in order to simplify testing. The main objectives of cloud testing are:

-confirmation of the quality of cloud applications, including their functionality, business procedures, performance and scalability, taking into account a set of requirements imposed on applications;

-checking cloud compatibility in the cloud infrastructure.

The following groups of cloud testing types are distinguished:

1. Cloud computing architecture testing.

Cloud computing architecture, like any other application or software, consists of two main sections: Front-End and Back-End.

Front end is a client or any application that uses cloud services.

Back-end is a network of client machines with servers that have a computer program and a data storage system.

The cloud has a centralized server for administering system clients, requests, etc. After developing user scenarios, developing and executing the test. Once the test is complete, the cloud service provider provides results and analytics to corporate IT specialists through real-time dashboards for a complete analysis of the operation of their applications during peak load periods.

2. Main types of cloud testing fig.1.




Fig.1. Main types of cloud testing

Cloud testing has become a new approach to testing, thanks to which cloud computing environments are used to apply modern types of testing, ensuring high efficiency of this process while minimizing the costs of user organizations. Cloud testing uses classical testing methods. The choice of one or another testing method is determined by the features of the cloud testing methodology used. The use of one or another type of testing is determined by the features of a specific cloud application and/or the methodology used.

Література:

1. Токарєв В., Ільїна І., Шевченко І., Гриценко І. Про один підхід до рішення асиметричної TSP - задачі при B2C доставках за допомогою платформи "Swarm-bot" - system у фізичному неорганізованому середовищі. Системи управління, навігації та зв'язку, 2023. - №4(74), cc. 110-113.

2. L.E. Gryzun, V.V. Tokariev. Mobile applications design for digital education: IT-students’ engagement experience on conditions of online learning the course "Mobile technologies". Proceedings of the 2nd Workshop on Digital Transformation of Education, co-located with the 18th International Conference on ICT in Education, Research, and Industrial Applications: (ICTERI 2023). CEUR Workshop Proceedings, 2023. Ivano-Frankivsk. Ukraine, рр. 110-123..

3. Koshovyi M. D., Pylypenko O. T., Ilyina I. V., Tokarev V. V. Growing tree method for optimization of multifactorial experiments, Radio Electronics, Computer Science, Control, 2023. - № 3, pp. 55-61.

4. Koshevoy N., Ilina I., Tokariev V., Malkova A., Muratov V. Implementation Of The Gravity Search Method For Optimization By Cost Expenses Of Plans For Multifactorial Experiments. Radioelectronic and Computer Systems, 2023. – Vol. 1(105), pp. 23-32. 

5. Ільїна І.В., Токарєв В.В., Яковлєв А.В., Шевченко І.І. Використання системи підтримки прийняття рішень для організації гуманітарної логістики, Системи управління, навігації та зв'язку, 2024, №1(75), cc. 88-91.



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