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Release engineers are continuously required to de-liver high-quality software products to the end-user. As a result, modern software companies are proposing new changes in their delivery process that adapt to new technologies such as continuous deployment and Infrastructure-as-Code. However, developers and release engineers still find these practices challenging, and resort to question and answer websites such as StackOverflow to find answers. This paper presents the results of our empirical study on release engineering questions in StackOverflow, to understand the modern release engineering topics of interest and their difficulty. Using topic modeling techniques, we find that (i)developers discuss on a broader range of38release engineering topics covering all the six phases of modern release engineering,(ii) the topics Merge Conflict, Branching & Remote Upstream are more popular, while topics Code review, Web deployment,MobileApp Debugging & Deployment, Continuous Deployment are less popular yet more complicated, (iii) - Particularly, the release engineering topic “security” is both popular and difficult according to data collected from StackOverflow
Kindly cite our work: Moses Openja, Bram Adams & Foutse Khomn, "Analysis of Modern Release Engineering Topics – A Large-Scale Study using StackOverflow –" accepted in ICMSE 2020, Paper link coming soon
Empirical Study, Topic Models, Modern Release Engineering, Modern Release Engineering, Topic Models,Empirical Study, Modern Release Engineering, Topic Models,Empirical Study
Empirical Study, Topic Models, Modern Release Engineering, Modern Release Engineering, Topic Models,Empirical Study, Modern Release Engineering, Topic Models,Empirical Study
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 | |
| downloads | 2 |

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