Using intelligence techniques to automate Oracle testing

Autor:	Nour Sulaiman, safwan hasson
Jazyk:	Arabic<br />English
Rok vydání:	2023
Předmět:	automated software testing mutation testing black-box testing artificial neural networks cnn network random forest Mathematics QA1-939 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 17, Iss 1, Pp 91-97 (2023)
Druh dokumentu:	article
ISSN:	1815-4816 2311-7990
DOI:	10.33899/csmj.2023.179485
Popis:	The software development life cycle includes software testing as a critical step. Oracle testing is necessary to determine if a particular test case detects an error because the purpose of testing is to ensure that the application adheres to its specifications. This test leads to the consumption of time and cost and may lead to errors in which the tester falls. This research aims to present a proposed system based on the automation of the Oracle test using intelligent techniques. The model was trained using the random forest algorithm and using the convolutional neural network. This proposed system is considered one of the box techniques. Test blacks that depend on the output of the system being tested.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/55b05aea74ea45a78e53dbe557483dc8 Zobrazit plný text záznamu View record in DOAJ