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https://doi.org/10.1109/esem.2...
Article . 2017 . Peer-reviewed
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DBLP
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Beyond Continuous Delivery: An Empirical Investigation of Continuous Deployment Challenges

Authors: Mojtaba Shahin; Muhammad Ali Babar 0001; Mansooreh Zahedi; Liming Zhu 0001;

Beyond Continuous Delivery: An Empirical Investigation of Continuous Deployment Challenges

Abstract

Context: A growing number of software organizations have been adopting Continuous DElivery (CDE) and Continuous Deployment (CD) practices. Researchers have started investing significant efforts in studying different aspects of CDE and CD. Many studies refer to CDE (i.e., where an application is potentially capable of being deployed) and CD (i.e., where an application is automatically deployed to production on every update) as synonyms and do not distinguish them from each other. Despite CDE being successfully adopted by a large number of organizations, it is not empirically known why organizations still are unable or demotivated to have automatic and continuous deployment (i.e., CD practice). Goal: This study aims at empirically investigating and classifying the factors that may impact on adopting and implementing CD practice. Method: We conducted a mixed-method empirical study consisting of interviewing 21 software practitioners, followed by a survey with 98 respondents. Results: Our study reveals 11 confounding factors that limit or demotivate software organizations to push changes automatically and continuously to production. The most important ones are "lack of automated (user) acceptance test", "manual quality check", "deployment as business decision", "insufficient level of automated test coverage", and "highly bureaucratic deployment process". Conclusion: Our findings highlight several areas for future research and provide suggestions for practitioners to streamline deployment process.

Country
Denmark
Keywords

DevOps, empirical study, Continuous Deployment, continuous delivery, 004

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green