Mining assumptions for software components using machine learning

Author:

Gaaloul Khouloud1,Menghi Claudio1,Nejati Shiva2,Briand Lionel C.2,Wolfe David3

Affiliation:

1. University of Luxembourg, Luxembourg

2. University of Ottawa, Canada / University of Luxembourg, Luxembourg

3. QRA, Canada

Funder

Fonds National de la Recherche Luxembourg

H2020 European Research Council

Natural Sciences and Engineering Research Council of Canada

Publisher

ACM

Reference67 articles.

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2. 2019. DHC-2model. http://www.dutchroll.com. Accessed: 2019-10-24. 2019. DHC-2model. http://www.dutchroll.com. Accessed: 2019-10-24.

3. 2020. Additional Material. https://github.com/SNTSVV/EPIcuRus 2020. Additional Material. https://github.com/SNTSVV/EPIcuRus

4. 2020. fitctree. https://nl.mathworks.com/help/stats/fitctree.html 2020. fitctree. https://nl.mathworks.com/help/stats/fitctree.html

5. 2020. QVtrace. https://qracorp.com/qvtrace/ 2020. QVtrace. https://qracorp.com/qvtrace/

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