Advances in AI and Software Testing in 2024: A Comprehensive Review

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Saivarun Pinna

Advances in AI and Software Testing in 2024: A Comprehensive Review

Authors: Saivarun Pinna

Unique Paper ID: 172216
Volume: 11
Issue: 8
PageNo: 2211-2217

Keywords: AI-Driven Software Testing Automation Frameworks Predictive Analytics Data models. Generative AI Validation Quantum-Resistant Encryption Continuous Integration and Deployment (CI/CD).

Abstract:
The rapid advancements in artificial intelligence (AI) have revolutionized software testing practices, introducing new tools, methodologies, and frameworks. This paper explores the state-of-the-art in AI-driven software testing, including experimental insights, innovative frameworks, and future directions. By synthesizing findings from recent studies, we aim to provide a holistic view of the integration of data driven AI technologies in software testing, emphasizing their applications, challenges, and implications for the industry.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 8
PageNo: 2211-2217

Advances in AI and Software Testing in 2024: A Comprehensive Review

Available:https://ijirt.org/article?manuscript=172216

28 Feb, 2025

Bioimpedance Methods for Real-Time Cell Growth Analysis Principles, Applications, and Future AI and Data Advancements in Healthcare

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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