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Artificial Intelligence for Automated Testing and Bug Tracking

Year: 2024

Type: article

Abstract: The article is dedicated to the use of artificial intelligence for software testing automation and bug tracking. It describes the key aspects of implementing intelligent testing systems, including automatic test scenario generation, code analysis, defect prediction, and log analysis. Specific examples of tools that demonstrate an increase in the speed and efficiency of testing are considered. The article provides statistical data confirming the growing popularity of the use of intelligent systems in software testing among large companies, which allows improving product quality and optimising processes.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13863435

Authors: Halan О., Buhai D.

Language: English

Topic: Software Testing and Debugging Techniques

Subfield: Software

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6949575000

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