SOFTWARE QUALITY ASSURANCE THROUGH AUTOMATED TESTING FRAMEWORKS

Authors

  • Muhammad Bilal Faculty of Software Engineering, University of Lahore, Lahore, Pakistan. Author
  • Sana Qureshi Department of Information Technology, Quaid-i-Azam University, Islamabad, Pakistan. Author

DOI:

https://doi.org/10.71465/mrcis144

Keywords:

Software quality assurance, automated testing, regression testing, continuous integration, unit testing, software reliability, test automation framework, software maintenance

Abstract

Software Quality Assurance (SQA) ensures that software products meet predefined standards of reliability, functionality, and performance. The increasing complexity of modern software systems has made manual testing insufficient, leading to the rise of Automated Testing Frameworks (ATFs). These frameworks integrate seamlessly into development environments, providing faster feedback, reduced human error, and enhanced regression testing capabilities. This paper explores the role of ATFs in improving software quality assurance, emphasizing techniques such as unit testing, integration testing, continuous integration, and behavior-driven testing. It also  examines challenges such as framework selection, scalability, and maintenance overhead. By analyzing case studies and emerging trends, the study highlights how automation-driven quality assurance contributes to sustainable software development and improved customer satisfaction.

References

Ahmad, N. R. (2025). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. https://doi.org/10.52152/wja5db40

Irk, E. (2025). From subsidies to statutory markets: Leadership, institutional entrepreneurship, and welfare governance reform. https://doi.org/10.52152/s59sjh53

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Published

2025-11-30

Issue

Vol. 5 No. 11 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

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