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@article{172216,
        author = {Saivarun Pinna},
        title = {Advances in AI and Software Testing in 2024: A Comprehensive Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2211-2217},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172216},
        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.},
        keywords = {AI-Driven Software Testing, Automation Frameworks, Predictive Analytics, Data models. Generative AI Validation, Quantum-Resistant Encryption, Continuous Integration and Deployment (CI/CD).},
        month = {January},
        }