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2025-02-23T00:58:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-252088%22&qt=morelikethis&rows=5
2025-02-23T00:58:06-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T00:58:06-05:00 DEBUG: Deserialized SOLR response
Дослідження інтелектуальних методів тестування програмного забезпечення

Дослідження інтелектуальних методів тестування програмного забезпечення

This article presents the examination of several techniques and tools used in the automated software testing process. Considering the ever-growing importance of software testing, several possible implications of implementation of artificial intelligence into this area are also discussed. The main ob...

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Bibliographic Details
Main Authors: Kazimov, Tofig, Bayramova, Tamilla, Malikova, Nazakat
Format: Article
Language:English
Published: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2021
Subjects:
software testing
automated testing
artificial intelligence
тестирование программного обеспечения
автоматизированное тестирование
искусственный интеллект
тестування програмного забезпечення
автоматизоване тестування
штучний інтелект
Online Access:http://journal.iasa.kpi.ua/article/view/252088
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Summary:This article presents the examination of several techniques and tools used in the automated software testing process. Considering the ever-growing importance of software testing, several possible implications of implementation of artificial intelligence into this area are also discussed. The main objective of this study is to examine the field of test automation by categorising related test activities, to which artificial intelligence tools can be applied for increased efficiency, and evaluate the impact of the application. The main software testing methods are white-box, black-box, and grey-box methods; an effort has been made to determine a connection between the given testing methods and artificial intelligence methods. A brief summary of several artificial intelligence engine tools used to automate testing was also provided. Lastly, the possible future benefits from usage of AI in software testing was investigated.

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