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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38166

Software Testing Automation: Enhancing Efficiency and Reliability with Artificial Intelligence

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-

Subject:

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Paper ID:

IJSREM38166

Volume:

8 |

10 |

Oct 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Prof. Pravin Awari

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Abstract

Software testing is a crucial phase in software development to ensure the quality and reliability of applications. The advent of automation in software testing has drastically transformed the testing landscape, aiming to enhance efficiency, reduce human error, and improve accuracy. This paper explores the role of software testing automation in enhancing efficiency and reliability. We delve into key technologies, frameworks, methodologies, and tools that contribute to the automation process. Furthermore, we examine case studies, challenges, and future trends in automated testing. The findings suggest that while automation brings significant advantages, there are also limitations that need to be addressed for its broader adoption in software engineering practices

KEYWORDS

Software Testing Automation Efficiency Reliability Tools Frameworks Artificial Intelligence Machine Learning Test Case Generation Bug Detection Adaptive Testing Test Coverage

Cite This Article

Prof. Pravin Awari, "Software Testing Automation: Enhancing Efficiency and Reliability with Artificial Intelligence," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 10, Oct 2024.

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10/24/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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