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ORCID1st MaLTeSQuE 2017: Klagenfurt, Austria
- Francesca Arcelli Fontana, Bartosz Walter, Marco Zanoni:
2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@SANER, Klagenfurt, Austria, February 21, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-6597-4 - Lov Kumar
, Santanu Kumar Rath, Ashish Sureka:
Using source code metrics to predict change-prone web services: A case-study on ebay services. 1-7 - Fabio Palomba, Rocco Oliveto, Andrea De Lucia:
Investigating code smell co-occurrences using association rule learning: A replicated study. 8-13 - Miroslaw Ochodek, Miroslaw Staron, Dominik Bargowski, Wilhelm Meding, Regina Hebig:
Using machine learning to design a flexible LOC counter. 14-20 - Timothy Chappell, Cristina Cifuentes, Padmanabhan Krishnan, Shlomo Geva:
Machine learning for finding bugs: An initial report. 21-26 - Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz:
Automatic feature selection by regularization to improve bug prediction accuracy. 27-32 - Haidar Osman, Mohammad Ghafari, Oscar Nierstrasz:
Hyperparameter optimization to improve bug prediction accuracy. 33-38
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