International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 2 March-April 2024 Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

The Evolving Role of Artificial Intelligence in Software Testing: Prospects and Challenges

Author(s) Md. Abul Hayat, Sunriz Islam, Md. Fokhray Hossain
Country Bangladesh
Abstract Artificial intelligence (AI) refers to a machine's capacity for operations typically performed by human intelligence, such as learning, thinking, solving problems, and making decisions. Machine learning, neural networks, expert systems, and rule-based systems are all used in artificial intelligence. AI employs methods and algorithms to process data, draw conclusions from patterns and laws, and enhance performance over time. A software application or product's intended functionality is evaluated and verified through the process of software testing. The benefits of testing include the prevention of bugs, decreased development costs, and improved performance. Through test generation, test data generation, and automated test script writing, AI can be used in software testing to enhance the quality of our product and the manual testing processes. Software testing is a time-consuming, laborious, and tiresome process. Automation solutions have been created to help with automating some testing process operations in order to increase quality and delivery time. As continuous integration and delivery (CI/CD) pipelines are added, automation systems gradually lose part of their usefulness. The testing community is looking to AI to fill the gap because AI has the capacity to check the code for flaws and defects without the need for any human intervention and much more quickly than humans. In this study, we want to comprehend the effects of AI technology on various STLC tasks or components of software testing. The study also makes an effort to pinpoint and explain some of the biggest challenges faced by software testers when implementing AI in testing. The report also suggests several significant potential contributions of AI to the field of software testing.
Keywords Artificial Intelligence, Machine Learning, Deep Learning, Software Testing, Test Automation, STLC.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-15
Cite This The Evolving Role of Artificial Intelligence in Software Testing: Prospects and Challenges - Md. Abul Hayat, Sunriz Islam, Md. Fokhray Hossain - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14783
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14783
Short DOI https://doi.org/gtmzt2

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