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Improving Node-RED Flows Comprehension with a Set of Development Guidelines

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Evaluation of Novel Approaches to Software Engineering (ENASE 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1375))

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Abstract

The recent technological advancements has pointed the interest of developers, researchers, and end-users towards the Internet of Things (IoT) domain, whose plethora of services naturally arises to improve the human life. As the IoT becomes more and more involved in our everyday activities, we are personally encouraged to experiment it in practice.

Node-RED tool has emerged as a practical solution to develop IoT systems in a simple manner. The tool was inspired by the flow-based programming paradigm and is built on top of Node.js framework. Its simplicity relies on the visual interface providing built-in functionalities and large customization. Moreover, the Node-RED community is quite active and inclined to offer support and share solutions to integrate within existing systems, therefore it is expected that the produced Node-RED flows are easy to comprehend and re-use. However, to the best of our knowledge, no consolidated approaches or guidelines to develop comprehensible Node-RED flows currently exist.

For this reason, in this paper we, first, propose a set of guidelines aimed at helping Node-RED developers in producing flows easy to comprehend and re-use. Then, we report on an experiment to evaluate the effect of such guidelines on Node-RED flows comprehension. Results show that the adoption of the guidelines has a significant positive effect on both the number of errors and the time required to comprehend Node-RED flows. Finally, we describe an analysis of the Top-100 most downloaded Node-RED flows to discuss about their compliance (or not) with the proposed guidelines.

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Notes

  1. 1.

    https://flows.nodered.org/.

  2. 2.

    https://medium.com/node-red/node-red-design-patterns-893331422f42.

  3. 3.

    https://nodered.org/docs/.

  4. 4.

    https://nodered.org/docs/user-guide/nodes#switch.

  5. 5.

    https://www.twilio.com/.

  6. 6.

    https://www.wemo.com/.

  7. 7.

    https://nodered.org/blog/2016/06/14/version-0-14-released.

  8. 8.

    https://nodered.org/docs/user-guide/editor/workspace/subflows.

  9. 9.

    https://www.wikidata.org.

  10. 10.

    https://nodered.org/docs/user-guide/nodes#function.

  11. 11.

    https://discourse.nodered.org/t/function-node-stopping/7017.

  12. 12.

    https://github.com/node-red/node-red/issues/88.

  13. 13.

    https://discourse.nodered.org/t/switch-node-not-consistent/11908.

  14. 14.

    https://discourse.nodered.org/t/help-simplifying-flow/8765.

  15. 15.

    https://discourse.nodered.org/t/cpu-hogging-to-100/2944.

  16. 16.

    https://discourse.nodered.org/t/how-to-comment-out-a-node/1106.

  17. 17.

    https://cookbook.nodered.org/mqtt/.

  18. 18.

    https://www.r-project.org/.

  19. 19.

    https://flows.nodered.org/search?type=flow, consulted in August 2020.

  20. 20.

    https://nodered.org/docs/creating-nodes.

  21. 21.

    https://medium.com/node-red/node-red-design-patterns-893331422f42.

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Authors and Affiliations

  1. Dipartimento di Informatica, Sistemistica e Comunicazione (DISCO), Università di Milano-Bicocca, Milan, Italy

    Diego Clerissi

  2. Dipartimento di Informatica, Bioingegneria, Robotica e Ingegneria dei Sistemi (DIBRIS), Università di Genova, Genoa, Italy

    Maurizio Leotta & Filippo Ricca

Authors
  1. Diego Clerissi
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  2. Maurizio Leotta
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  3. Filippo Ricca
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Corresponding author

Correspondence to Diego Clerissi .

Editor information

Editors and Affiliations

  1. Hamad Bin Khalifa University, Doha, Qatar

    Raian Ali

  2. TU Wien, Vienna, Austria

    Hermann Kaindl

  3. Wrocław University of Economics Institute of Business Informatics, Wrocław, Poland

    Leszek A. Maciaszek

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Clerissi, D., Leotta, M., Ricca, F. (2021). Improving Node-RED Flows Comprehension with a Set of Development Guidelines. In: Ali, R., Kaindl, H., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2020. Communications in Computer and Information Science, vol 1375. Springer, Cham. https://doi.org/10.1007/978-3-030-70006-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-70006-5_10

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