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A Study of Version Control System in Software Development Management Concerning PLC Environments

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Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 419))

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Abstract

In this work, a more apt tool for the PLC and robotics industries is presented. This study contextualizes the areas of PLCs and Robotics to better understand their industry and to serve as a link to the thematic of version control systems specific for this industry. This study will then help to understand the version control systems tools available for software development in general, as well as, the logic behind those while showing how they work. Then it will give more focus over the specific VCS tool that was being used in this project, by showing its functionalities and why it does not work for graphical and structured text programming in the PLC and Robotics contexts. Also, it will be possible to have a general overview of the problem, alongside with examples of solutions to control versions in software development for PLCs and Robotics.

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Acknowledgement

The project is funded by the FCT—Fundação para a Ciência e Tecnologia through the R&D Units Project Scope: UIDB/00319/2020, and EXPL/EME-SIS/1224/2021.

Author information

Authors and Affiliations

  1. Department of Production and Systems, University of Minho, Braga, Portugal

    Domingos Costa, Senhorinha Teixeira & Leonilde R. Varela

  2. Algoritmi Research Centre, University of Minho, Guimarães, Portugal

    Domingos Costa, Senhorinha Teixeira & Leonilde R. Varela

Authors
  1. Domingos Costa
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  2. Senhorinha Teixeira
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  3. Leonilde R. Varela
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Corresponding author

Correspondence to Domingos Costa .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Departamento de Engenharia Informática, Instituto Superior de Engenharia do Port, Porto, Portugal

    Ana Maria Madureira

  3. Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Arturas Kaklauskas

  4. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  5. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Anu Bajaj

  6. Faculty of Information Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  7. Vilnius University, Kaunas, Lithuania

    Dalia Kriksciuniene

  8. Lisbon University Institute, Lisbon, Portugal

    João Carlos Ferreira

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Costa, D., Teixeira, S., Varela, L.R. (2022). A Study of Version Control System in Software Development Management Concerning PLC Environments. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_14

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