This algorithm translates multiple programming languages into a single format, suggesting an efficient development approach.
Currently, more than 250 programming languages have been created and are actively used. They appeared as a result of the evolution of computer technologies, the challenges facing developers, and the requirements for efficiency and convenience imposed on the written software. Each new language is created to solve specific problems or overcome the shortcomings of previous languages. The choice of a programming language is a complex and non-trivial issue that affects the success of a project. This paper proposes an approach in which parts of the software can be written in different programming languages and then automatically translated into the target language. Existing solutions offer either a limited set of supported languages without an explicit sequence of actions for their expansion, or the obtained result requires additional significant costs to test its operability. The goal of the article is to create an algorithm for translating program text implemented in various languages into a single format using the method of universal specific syntax trees and a global programming language that ensure the integrity of the obtained results. The presented algorithm allows creating program modules in the most suitable programming languages with obtaining the final result in the selected target language using the method of universal specific syntax trees and using a global programming language. An example of the operation of this algorithm has been given, where part of the source text is implemented in Java, and the rest of the logic is in Prolog. The advantages of using the proposed approach have been shown: reducing the time of software development; solving the problem of choosing a programming language and stimulating the development of specialized languages, such as Prolog. The developed algorithm allows combining the advantages of various programming languages within a single product by implementing the most suitable code blocks in them and translating the result to the target language using the method of universal specific syntax trees and a global programming language that ensure the integrity of the obtained results.
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Zheludkov et al. (2025) studied this question.
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