Issue |
MATEC Web Conf.
Volume 346, 2021
International Conference on Modern Trends in Manufacturing Technologies and Equipment (ICMTMTE 2021)
|
|
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Article Number | 03095 | |
Number of page(s) | 6 | |
Section | Mechanical Engineering | |
DOI | https://doi.org/10.1051/matecconf/202134603095 | |
Published online | 26 October 2021 |
The Development of a Simulation Model for Assessing the CI/CD Pipeline Quality in the Development of Information Systems Based on a Multi-Agent Approach
Engineering School of Information Technologies, Telecommunications and Control Systems, Ural Federal University, Ekaterinburg, Russia
* Corresponding author: medvedev.denis@urfu.ru
The need for the development of fast and efficient software requires the automation during the build, test and release stages. Thus, a methodology of the continuous integration and continuous delivery (CI/CD) emerges which using a continuous integration server which makes easier automatical build, test, and package of the new feature settings. Poor understanding and execution of CI/CD operations can slow down and even stop the pace of a software project. Many bottlenecks in the CI/CD pipeline can arise from misconfiguration, in other words, an inadequate level of automation, inappropriate agent characteristics, and a suboptimal queuing strategy. On the other hand, the finding a way to analyze and improve the settings of the CI/CD pipeline brings great management and economic benefits, since an optimal configuration ultimately implies high efficiency. In this regard, this study attempts to develop a simulation model that will provide a testing environment for a variety of factors that affect CI/ CD performance. The present study, therefore, aims to provide a pipeline simulation model based on the logic of a queuing system, which is based on a multi-agent approach and an experimental environment that allows you to test different settings and scenarios.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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