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@article{188678,
        author = {Abhishek Kumar Mishra and Dr. Anil Kumar Mishra},
        title = {Software Metrics},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {2669-2675},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188678},
        abstract = {Software metrics represent the spine of quantitative software engineering, imparting equipment to evaluate software fine, productivity and reliability. Notwithstanding huge educational advancements, enterprise adoption stays confined in large part to primitive metrics such as lines of Code (LOC), illness counts, and attempt estimations. This review synthesizes insights from Fenton & Neil (1998) to explore the evolution, achievements, limitations, and rising instructions inside the software program metrics domain. The paper highlights the mismatch among educational contributions and commercial practices, exposes weaknesses in conventional regression-based prediction fashions, and offers Bayesian perception Networks (BBNs) as a transformative technique to modeling uncertainty, causality, and gadget behavior Increased effects and interpretations are offered to deepen know-how, observed by means of a destiny scope that emphasizes integrating wise fashions, probabilistic reasoning, and system-conscious metrics for modern-day software program engineering demanding situations.},
        keywords = {},
        month = {December},
        }