Agile methodology and test-driven development for large-scale cloud software projects

As more than 94 % of businesses currently operate workloads in the cloud, the need to have large-scale high-performance software development has never been so high. However, there are consistent difficulties with such projects-coordination of geographically distributed teams, fluid requirements, and properly scaled error-free codes. Test-Driven Development (TDD) and Agile methodology have proven to be a powerful combination that can help in curbing these problems creating an iterative delivery, constant feedback, and automation of quality assurance. In this paper, this Agile and TDD will be examined as part of integrating the use of cloud software in large-scale projects to determine how the two techniques can enhance the reliability of code by up to 40 %, the halved time spent in deployment of cloud software, as well as the productivity of entire staffs working in geographically-dispersed teams. By critically analyzing the strengths, weaknesses, and implementation tactics of key points, we offer a combination of the industry case studies, quantitative indicators, and best practices applied right now together. The knowledge enlightened can provide a guideline on how practitioners and researchers can provide resilient, flexible, and scalable cloud services within the present competitive digital environment.

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-04-30
DOI
https://doi.org/10.30574/wjaets.2025.15.1.0316
Citations
3
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
7.44
Controls
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article

Agile methodology and test-driven development for large-scale cloud software projects

3 citations
World Journal of Advanced Engineering Technology and Sciences
Geochemistry and Geologic Mapping
7.44
article

Agile methodology and test-driven development for large-scale cloud software projects

article en
3 citations

Abstract

As more than 94 % of businesses currently operate workloads in the cloud, the need to have large-scale high-performance software development has never been so high. However, there are consistent difficulties with such projects-coordination of geographically distributed teams, fluid requirements, and properly scaled error-free codes. Test-Driven Development (TDD) and Agile methodology have proven to be a powerful combination that can help in curbing these problems creating an iterative delivery, constant feedback, and automation of quality assurance. In this paper, this Agile and TDD will be examined as part of integrating the use of cloud software in large-scale projects to determine how the two techniques can enhance the reliability of code by up to 40 %, the halved time spent in deployment of cloud software, as well as the productivity of entire staffs working in geographically-dispersed teams. By critically analyzing the strengths, weaknesses, and implementation tactics of key points, we offer a combination of the industry case studies, quantitative indicators, and best practices applied right now together. The knowledge enlightened can provide a guideline on how practitioners and researchers can provide resilient, flexible, and scalable cloud services within the present competitive digital environment.

World Journal of Advanced Engineering Technology and SciencesVol. 15(1)
Industry, innovation and infrastructure
Openalex Percentile: Top 3%
Geochemistry and Geologic Mapping
7.44
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Agile methodology and test-driven development for large-scale cloud software projects · World Journal of Advanced Engineering Technology and Sciences (2025) | TGRS Research Map | TGRS