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@article{200456,
        author = {Prof. Vijayakumar G R and Archana K B and Bhoomika S and Bhoomika S N and Gagan K M},
        title = {Intelligent bug prioritization and fixing based on machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {1905-1912},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200456},
        abstract = {This paper presents even minor bugs can disrupt user experience, hinder productivity, and affect business performance in today's software systems. This project introduces an intelligent ML-based solution that will prioritize bugs automatically and assist developers with relevant fix suggestions. Analyzing historical reports, severity cues, and code-related patterns, the system identifies those critical issues that need immediate attention. It reduces manual triaging efforts, minimizes human error, and expedites the debugging process. Overall, the system enhances software reliability and helps teams deliver faster, more accurate resolutions in demanding development environments.},
        keywords = {Bug Prioritization, Fixing, Machine Learning, Natural Language Processing, Deep Learning, Bug Classification.},
        month = {May},
        }