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@article{169878,
        author = {R. Hinduja and V. Akash and A. Arshath},
        title = {Software Testing by Metrics Calculation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2471-2472},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169878},
        abstract = {Software testing plays an indispensable role in ensuring the quality, reliability, and maintainability of applications. This paper introduces a system designed to automate the calculation of software metrics for Python projects. By analyzing key metrics such as lines of code (LOC), number of classes, methods, Response for Class (RFC), Coupling Between Object Classes (CBO), and Lack of Cohesion in Methods (LCOM), the system provides quantitative insights into code quality. The results are stored in an Excel file for further analysis, allowing developers to assess the maintainability and design quality of their software. This automation significantly reduces manual effort and error while offering a robust tool for software quality assurance.},
        keywords = {},
        month = {November},
        }