Abstract
Ensuring a production-ready state of the application under development is the imminent feature of the Continuous Delivery (CD) approach. In a blockchain network, nodes communicate and store data in a distributed manner. Each node executes the same business application but operates in a distinct execution environment. The literature lacks research focusing on continuous practices for blockchain and Distributed Ledger Technology (DLT). Specifically, it lacks such works with support for both design and deployment. The author has proposed a solution that takes into account the continuous delivery of a business application to diverse deployment environments in the DLT network. As a result, two continuous delivery pipelines have been implemented using the Jenkins automation server. The first pipeline prepares a business application whereas the second one generates complete node deployment packages. As a result, the framework ensures the deployment package in the actual version of the business application with the node-specific up-to-date version of deployment configuration files. The Smart Contract Design Pattern has been used when building a business application. The modeling aspect of blockchain network installation has required using Unified Modeling Language (UML) and the UML Profile for Distributed Ledger Deployment. The refined model-to-code transformation generates deployment configurations for nodes. Both the business application and deployment configurations are stored in the GitHub repositories. For the sake of verification, tests have been conducted for the electricity consumption and supply management system designed for prosumers of renewable energy.
Highlights
Academic Editor: MarimuthuThe fundamental principle of the Agile Manifesto underlines the importance of early and continuous delivery of software that meets the needs of the customer [1]
This work focuses on the Continuous Delivery practice, blockchain technology, Unified Modeling Language (UML), and the Model-Driven Development (MDD) methodology
The study shows that the UML class diagram is commonly used for data structure modeling (85%) and UML deployment diagram is applied to physical structure modeling (71%) and functional to physical components mapping (53%)
Summary
The fundamental principle of the Agile Manifesto underlines the importance of early and continuous delivery of software that meets the needs of the customer [1]. They have found the following important topics: reducing build and test time, automation of tests, raising the scalability of deployment pipelines, and elevating of the deployment process reliability They have enumerated essential elements in implementing continuous approaches and underlined suitable infrastructure, testing, highly skilled programmers, and proven design patterns. In addition to ensuring the proper functioning of the business application, we are dealing with a variety of deployment configurations for the distributed ledger network nodes. Deployment pipelines have been designed that automate the release process for the distributed application and node deployment configuration scripts.
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