Scalable Software QA Frameworks for Cloud-Based Systems

Authors

  • Tofan Sultan Selman Founder & CEO, CureCode, Switzerland Author
  • Dr. Gobinda Prasad Acharya Associate Professor, ECE Dept., Sreenidhi Institute of Science and Technology Author

DOI:

https://doi.org/10.63575/CIA.2023.10203

Keywords:

Scalable, Software QA, Frameworks, Cloud-Based Systems, Quality Assurance, Automation, Performance Testing, Continuous Integration

Abstract

This paper introduces a scalable software quality assurance (QA) framework tailored for cloud-based application ecosystems. The framework addresses the unique challenges of distributed, multi-tenant, and containerized environments characteristic of modern cloud systems. It extends existing end-to-end QA models by incorporating automated test orchestration, compliance-focused validations, and continuous feedback loops to ensure high-quality deliverables in dynamic, cloud-based applications. The framework was evaluated on two distinct systems: a Software-as-a-Service (SaaS)-based education platform and a large-scale enterprise Customer Relationship Management (CRM) system. Results demonstrated significant improvements in test coverage, faster testing cycle times, and a reduction in post-deployment issues. These findings highlight the framework's adaptability and effectiveness in enhancing software quality assurance processes for diverse cloud environments, underscoring its strategic value in modern software development

Author Biography

  • Dr. Gobinda Prasad Acharya, Associate Professor, ECE Dept., Sreenidhi Institute of Science and Technology

     

     

     

Published

2023-07-11

How to Cite

[1]
T. S. Selman and D. G. Prasad Acharya, “Scalable Software QA Frameworks for Cloud-Based Systems”, Journal of Computing Innovations and Applications, vol. 1, no. 2, pp. 20–26, Jul. 2023, doi: 10.63575/CIA.2023.10203.