Pooja Batra*, Aman Jatain

Department of Computer Science, Amity University, Haryana, India

 

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ABSTRACT

Today most of the organizations are switching to DevOps for faster and reliable delivery. It promotes the collaboration between developers and IT teams. In ancient development practices, development and operation teams were working in silos and when DevOps introduced, it combines both teams to integrate and automate the processes. A single team with cross functioning members provides not only technical advantages but also cultural benefits. Faster delivery of software, less complex designs, stable operating environments, customer satisfaction is some of the outcomes of DevOps. Although it proved to be a responsive environment for software delivery yet lacks in quantifiable perspective. There is no metric defined to measure performance and that can be estimated by using key attributes of software. In this research hybrid framework is proposed to improve the software reliability and productivity. Proposed framework for DevOps is named TDMBD (Test Driven Measurement Based DevOps) which provides solutions to challenges in DevOps like performance issues, poorly defined methodologies, and unstandardized processes. Paper focuses on defining and measuring metrics that are derived from measurement-based system of software and TDMBD is evaluated based on metrics analysis. To validate results of proposed approach a comparison is shown in between existing approach and proposed approach. Finally, through proposed method better quality of product is retrieved.


Keywords: DevOps, Development and operations, Agile, CI/CD, Software development, Framework.


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ARTICLE INFORMATION

Received: 2021-05-24
Revised: 2021-06-23
Accepted: 2021-07-05
Available Online: 2021-09-01


Cite this article:

Batra, P., Jatain, A. 2021. Hybrid model for evaluation of quality aware DevOps. International Journal of Applied Science and Engineering, 18, 2021158. https://doi.org/10.6703/IJASE.202109_18(5).013

  Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

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