Continuous Delivery of Blockchain Distributed Applications

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.

Cultural codes of the new reality in the multilingual space and interlingual contacts (through the lens of color term research)

Colors, color terms and color symbolism are determined by a multitude of linguistic and cultural contacts in various spheres of social, political and cultural aspects of life in various geopolitical dimensions. They are of a great interest to scholars studying linguistic processes in the multilingual space. In the recent decades the mental modus operandi has shifted towards the visual aspect, precoding texts into images. This process has had a great influence on interlinguistic contacts; it is represented in the new reality through various semiotic devices, among which are the color components. The research rationale is motivated by the fact that images of total socialization lead to a multidirectional cognition of colors and color code transformation. Researching these processes through the lens of color studies reveals the multitude of ways of linguistic experience objectification and the impact it has on mentality. Due to the relevance of the problem, the authors aim to study the potential of cultural and cognitive information contained by color terms in various languages by addressing cultural codes of the new language reality in the multidimensional linguistic space. Color is an important component of culture and the realization of moral and aesthetic values; it is surrounded by a system of associations created by the objective material world and various cultural factors that are widely represented in the modern linguistic practice, which determines the relevance of comparative studies. This scientific approach facilitates a comprehensive description of connections between colors and tokens in different languages, as well as the practical value of color terms and their multidimensionality.

Software Birthmark Usability for Source Code Transformation Using Machine Learning Algorithms

Source code transformation is a way in which source code of a program is transformed by observing any operation for generating another or nearly the same program. This is mostly performed in situations of piracy where the pirates want the ownership of the software program. Various approaches are being practiced for source code transformation and code obfuscation. Researchers tried to overcome the issue of modifying the source code and prevent it from the people who want to change the source code. Among the existing approaches, software birthmark was one of the approaches developed with the aim to detect software piracy that exists in the software. Various features are extracted from software which are collectively termed as “software birthmark.” Based on these extracted features, the piracy that exists in the software can be detected. Birthmarks are considered to insist on the source code and executable of certain programming languages. The usability of software birthmark can protect software by any modification or changes and ultimately preserve the ownership of software. The proposed study has used machine learning algorithms for classification of the usability of existing software birthmarks in terms of source code transformation. The K-nearest neighbors (K-NN) algorithm was used for classification of the software birthmarks. For cross-validation, the algorithms of decision rules, decomposition tree, and LTF-C were used. The experimental results show the effectiveness of the proposed research.

A Review on Multicriteria Decision Support System and Industrial Internet of Things for Source Code Transformation

The large scale increase of communication and number of devices in the Industrial Internet of Things (IIoT) has rapidly enabled practitioners to make decisions based on multicriteria. Multicriteria decision support systems (MCDSSs) play an important role in decision-making for a particular situation based on several criteria. Making of decision based on multicriteria is the main issues for research community and practitioners of the IIoT. Several decision support systems (DSSs) are offered for making decisions which have the potentiality to support the activities of the decision-making process. The suggested study shows a review on the existing decision support systems for the IIoT for source code transformation which will enable research community and practitioners of the industry to use the existing methods, tools, approaches, and techniques and to provide novel solutions for the smooth industry of Internet of Things.