Open AccessResearch of intelligent methods of software testing
Author(s) -
Tofig Kazimov,
Tamilla Bayramova,
Nazakat Malikova
Publication year - 2021
Publication title -
sistemnì doslìdžennâ ta ìnformacìjnì tehnologìï
Language(s) - English
Resource type - Journals
eISSN - 2308-8893
pISSN - 1681-6048
DOI - 10.20535/srit.2308-8893.2021.4.03
Subject(s) - white box testing , computer science , keyword driven testing , software performance testing , automation , software , non regression testing , software testing , system integration testing , manual testing , software engineering , test strategy , software reliability testing , artificial intelligence , software development , software construction , engineering , mechanical engineering , programming language
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.