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Automated code development based on genetic programming in graphical programming language: A pilot study

Kodytek, Pavel ; Bodzas, Alexandra ; Zidek, Jan Vashishtha, Govind

PloS one, 2024-03, Vol.19 (3), p.e0299456-e0299456 [Periódico revisado por pares]

United States: Public Library of Science

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  • Título:
    Automated code development based on genetic programming in graphical programming language: A pilot study
  • Autor: Kodytek, Pavel ; Bodzas, Alexandra ; Zidek, Jan
  • Vashishtha, Govind
  • Assuntos: Algorithms ; Automation ; Biology and Life Sciences ; Computer and Information Sciences ; Computer software industry ; Engineering and Technology ; Information management ; Innovations ; International economic relations ; Mechanization ; Physical Sciences ; Pilot Projects ; Programming Languages ; Research and Analysis Methods ; Software
  • É parte de: PloS one, 2024-03, Vol.19 (3), p.e0299456-e0299456
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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    Competing Interests: The authors have declared that no competing interests exist.
  • Descrição: Continual technological advances associated with the recent automation revolution have tremendously increased the impact of computer technology in the industry. Software development and testing are time-consuming processes, and the current market faces a lack of specialized experts. Introducing automation to this field could, therefore, improve software engineers' common workflow and decrease the time to market. Even though many code-generating algorithms have been proposed in textual-based programming languages, to the best of the authors' knowledge, none of the studies deals with the implementation of such algorithms in graphical programming environments, especially LabVIEW. Due to this fact, the main goal of this study is to conduct a proof-of-concept for a requirement-based automated code-developing system within the graphical programming environment LabVIEW. The proposed framework was evaluated on four basic benchmark problems, encompassing a string model, a numeric model, a boolean model and a mixed-type problem model, which covers fundamental programming scenarios. In all tested cases, the algorithm demonstrated an ability to create satisfying functional and errorless solutions that met all user-defined requirements. Even though the generated programs were burdened with redundant objects and were much more complex compared to programmer-developed codes, this fact has no effect on the code's execution speed or accuracy. Based on the achieved results, we can conclude that this pilot study not only proved the feasibility and viability of the proposed concept, but also showed promising results in solving linear and binary programming tasks. Furthermore, the results revealed that with further research, this poorly explored field could become a powerful tool not only for application developers but also for non-programmers and low-skilled users.
  • Editor: United States: Public Library of Science
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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