%0 Conference Paper %1 conf/edcc/MedeirosICV21 %A Medeiros, Nadia Patricia Da Silva %A Ivaki, Naghmeh Ramezani %A Costa, Pedro %A Vieira, Marco %B EDCC %D 2021 %I IEEE %K dblp %P 87-94 %T An Empirical Study On Software Metrics and Machine Learning to Identify Untrustworthy Code. %U http://dblp.uni-trier.de/db/conf/edcc/edcc2021.html#MedeirosICV21 %@ 978-1-6654-3671-7

@inproceedings{conf/edcc/MedeirosICV21, added-at = {2024-05-07T00:00:00.000+0200}, author = {Medeiros, Nadia Patricia Da Silva and Ivaki, Naghmeh Ramezani and Costa, Pedro and Vieira, Marco}, biburl = {https://www.bibsonomy.org/bibtex/2717311e0706d8ace05e7799a6a4e64f3/dblp}, booktitle = {EDCC}, crossref = {conf/edcc/2021}, ee = {https://doi.org/10.1109/EDCC53658.2021.00020}, interhash = {c870835b271d75ac3d396d70ac810ce4}, intrahash = {717311e0706d8ace05e7799a6a4e64f3}, isbn = {978-1-6654-3671-7}, keywords = {dblp}, pages = {87-94}, publisher = {IEEE}, timestamp = {2024-05-13T09:08:55.000+0200}, title = {An Empirical Study On Software Metrics and Machine Learning to Identify Untrustworthy Code.}, url = {http://dblp.uni-trier.de/db/conf/edcc/edcc2021.html#MedeirosICV21}, year = 2021 }