The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview

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Computational Science and Its Applications – ICCSA 2020 (ICCSA 2020)

Abstract

Maintaining high level of quality with respect to important quality attributes is critical for the success of modern software applications. Hence, appropriate tooling is required to help developers and project managers monitor and optimize software quality throughout the overall Software Development Lifecycle (SDLC). Moreover, embedded software engineers and developers need support to manage complex interdependencies and inherent trade-offs between design and run-time qualities. To this end, in an attempt to address these issues, we are develo** the SDK4ED Platform as part of the ongoing EU-funded SDK4ED project, a software quality system that enables the monitoring and optimization of software quality, with emphasis on embedded software. The purpose of this technical paper is to provide an overview of the SDK4ED Platform and present the main novel functionalities that have been implemented within the platform until today.

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Notes

  1. 1.

    https://sdk4ed.eu/.

  2. 2.

    https://www.docker.com/.

  3. 3.

    https://reactjs.org/.

  4. 4.

    https://www.sonarqube.org/.

  5. 5.

    http://www.valgrind.org/.

  6. 6.

    https://perf.wiki.kernel.org/index.php/Main_Page.

  7. 7.

    https://pmd.github.io/.

  8. 8.

    http://gromit.iiar.pwr.wroc.pl/p_inf/ckjm/.

  9. 9.

    http://cppcheck.sourceforge.net/.

  10. 10.

    http://cccc.sourceforge.net/.

  11. 11.

    https://www.tensorflow.org/.

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Acknowledgements

This work is partially funded by the European Union’s Horizon 2020 Research and Innovation Programme through SDK4ED project under Grant Agreement No. 780572.

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Correspondence to Miltiadis Siavvas .

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Siavvas, M. et al. (2020). The SDK4ED Platform for Embedded Software Quality Improvement - Preliminary Overview. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12252. Springer, Cham. https://doi.org/10.1007/978-3-030-58811-3_73

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  • DOI: https://doi.org/10.1007/978-3-030-58811-3_73

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