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Pires, J. & Brito e Abreu, F. (2018). Knowledge Discovery Metamodel-based unit test cases generation. In 11th IEEE International Conference on Software Testing, Verification and Validation, ICST 2018. (pp. 432-433). Vasteras: IEEE.
J. P. Pires and F. M. Abreu, "Knowledge Discovery Metamodel-based unit test cases generation", in 11th IEEE Int. Conf. on Software Testing, Verification and Validation, ICST 2018, Vasteras, IEEE, 2018, pp. 432-433
@inproceedings{pires2018_1775764798911,
author = "Pires, J. and Brito e Abreu, F.",
title = "Knowledge Discovery Metamodel-based unit test cases generation",
booktitle = "11th IEEE International Conference on Software Testing, Verification and Validation, ICST 2018",
year = "2018",
editor = "",
volume = "",
number = "",
series = "",
doi = "10.1109/ICST.2018.00056",
pages = "432-433",
publisher = "IEEE",
address = "Vasteras",
organization = "IEEE",
url = "https://www.es.mdh.se/icst2018/"
}
TY - CPAPER TI - Knowledge Discovery Metamodel-based unit test cases generation T2 - 11th IEEE International Conference on Software Testing, Verification and Validation, ICST 2018 AU - Pires, J. AU - Brito e Abreu, F. PY - 2018 SP - 432-433 SN - 2381-2834 DO - 10.1109/ICST.2018.00056 CY - Vasteras UR - https://www.es.mdh.se/icst2018/ AB - Existing unit test cases generative approaches are language-dependent. In this document we propose a novel approach, dubbed KDM2xUnit that will allow the generation of test suites matching the xUnit framework, using several transformations and Knowledge Discovery Metamodel (KDM) compliant models as a common intermediate representation for existing software systems and their operating environments. ER -
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