Towards a Robust Quality Assurance Framework for Cloud Computing Environments

Trends such as cloud computing raise issues regarding stable and uniform quality assurance (QA) 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’s functionality, dependability, and future adaptability in cloud computing systems.

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Publication Details

Journal
International Journal of Software Engineering & Applications
Published
2025-01-28
DOI
https://doi.org/10.5121/ijsea.2025.16103
Primary Topic
Software Engineering Techniques and Practices
Type
article
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article

Towards a Robust Quality Assurance Framework for Cloud Computing Environments

Rizwan Qureshi, Mohammed Alharbi
International Journal of Software Engineering & Applications
Software Engineering Techniques and Practices
article

Towards a Robust Quality Assurance Framework for Cloud Computing Environments

Rizwan Qureshi, Mohammed Alharbi
article en

Abstract

Trends such as cloud computing raise issues regarding stable and uniform quality assurance (QA) 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’s functionality, dependability, and future adaptability in cloud computing systems.

International Journal of Software Engineering & ApplicationsVol. 16(1)
King Abdulaziz University (SA), King Abdul Aziz University Hospital (SA)
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Software Engineering Techniques and Practices
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Towards a Robust Quality Assurance Framework for Cloud Computing Environments — Rizwan Qureshi, Mohammed Alharbi · International Journal of Software Engineering & Applications (2025) | TGRS Research Map | TGRS