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An empirical study of architecting for continuous delivery and deployment

journal contribution
posted on 2024-11-02, 19:50 authored by Mojtaba ShahinMojtaba Shahin, Mansooreh Zahedi, Muhammad Babar, Liming Zhu
Recently, many software organizations have been adopting Continuous Delivery and Continuous Deployment (CD) practices to develop and deliver quality software more frequently and reliably. Whilst an increasing amount of the literature covers different aspects of CD, little is known about the role of software architecture in CD and how an application should be (re-) architected to enable and support CD. We have conducted a mixed-methods empirical study that collected data through in-depth, semi-structured interviews with 21 industrial practitioners from 19 organizations, and a survey of 91 professional software practitioners. Based on a systematic and rigorous analysis of the gathered qualitative and quantitative data, we present a conceptual framework to support the process of (re-) architecting for CD. We provide evidence-based insights about practicing CD within monolithic systems and characterize the principle of “small and independent deployment units” as an alternative to the monoliths. Our framework supplements the architecting process in a CD context through introducing the quality attributes (e.g., resilience) that require more attention and demonstrating the strategies (e.g., prioritizing operations concerns) to design operations-friendly architectures. We discuss the key insights (e.g., monoliths and CD are not intrinsically oxymoronic) gained from our study and draw implications for research and practice.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/s10664-018-9651-4
  2. 2.
    ISSN - Is published in 13823256

Journal

Empirical Software Engineering

Volume

24

Issue

3

Start page

1061

End page

1108

Total pages

48

Publisher

Springer New York LLC

Place published

United States

Language

English

Copyright

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Former Identifier

2006114730

Esploro creation date

2022-05-26

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