Towards a Robust Quality Assurance Framework for Cloud Computing Environments
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arXiv
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866916620330336256 |
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| author | Alharbi, Mohammed Qureshi, RJ |
| author_facet | Alharbi, Mohammed Qureshi, RJ |
| contents | Trends such as cloud computing raise issues regarding stable and uniform quality assurance and validation of software requirements. Current QA frameworks are poorly defined, often not automated, and lack the flexibility needed for on-demand, cloud based environments. These gaps lead to inconsistencies in service delivery, challenges in scaling organizational capacity, and internal and external inefficiencies that affect the reliability and effectiveness of cloud services. This paper presents a detailed framework for QA in cloud computing systems and advocates for standardized, automated, and adaptable systems to address these challenges. It aims to establish generic QA policies, incorporate intelligent techniques to enhance extendibility, and create adaptive solutions to manage the inherent attributes of cloud computing environments. The proposed framework is evaluated through survey questionnaires from industry practitioners, and descriptive statistics summarize the results. The study demonstrates the promise, effectiveness, and potential applicability of integrating a single QA framework to enhance the software functionality, dependability, and future adaptability in cloud computing systems |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_13526 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a Robust Quality Assurance Framework for Cloud Computing Environments Alharbi, Mohammed Qureshi, RJ Software Engineering Trends such as cloud computing raise issues regarding stable and uniform quality assurance and validation of software requirements. Current QA frameworks are poorly defined, often not automated, and lack the flexibility needed for on-demand, cloud based environments. These gaps lead to inconsistencies in service delivery, challenges in scaling organizational capacity, and internal and external inefficiencies that affect the reliability and effectiveness of cloud services. This paper presents a detailed framework for QA in cloud computing systems and advocates for standardized, automated, and adaptable systems to address these challenges. It aims to establish generic QA policies, incorporate intelligent techniques to enhance extendibility, and create adaptive solutions to manage the inherent attributes of cloud computing environments. The proposed framework is evaluated through survey questionnaires from industry practitioners, and descriptive statistics summarize the results. The study demonstrates the promise, effectiveness, and potential applicability of integrating a single QA framework to enhance the software functionality, dependability, and future adaptability in cloud computing systems |
| title | Towards a Robust Quality Assurance Framework for Cloud Computing Environments |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2502.13526 |