SANER 2017
2017 IEEE 24th International Conference on Software Analysis, Evolution, and Reengineering (SANER)
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2017 IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE), February 21, 2017, Klagenfurt, Austria

MaLTeSQuE 2017 – Proceedings

Contents - Abstracts - Authors

2017 IEEE International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)

Title Page
Message from the Chairs
Using Source Code Metrics to Predict Change-Prone Web Services: A Case-Study on eBay Services
Lov Kumar, Santanu Kumar Rath, and Ashish Sureka
(NIT Rourkela, India; ABB Corporate Research, India)
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Investigating Code Smell Co-occurrences using Association Rule Learning: A Replicated Study
Fabio Palomba, Rocco Oliveto, and Andrea De Lucia
(Delft University of Technology, Netherlands; University of Salerno, Italy; University of Molise, Italy)
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Using Machine Learning to Design a Flexible LOC Counter
Miroslaw Ochodek, Miroslaw Staron, Dominik Bargowski, Wilhelm Meding, and Regina Hebig
(Poznan University of Technology, Poland; Chalmers University of Technology, Sweden; University of Gothenburg, Sweden; Ericsson, Sweden)
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Machine Learning for Finding Bugs: An Initial Report
Timothy Chappell, Cristina Cifuentes, Padmanabhan Krishnan, and Shlomo Geva
(Queensland University of Technology, Australia; Oracle Labs, Australia)
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Automatic Feature Selection by Regularization to Improve Bug Prediction Accuracy
Haidar Osman, Mohammad Ghafari, and Oscar Nierstrasz
(University of Bern, Switzerland)
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Hyperparameter Optimization to Improve Bug Prediction Accuracy
Haidar Osman, Mohammad Ghafari, and Oscar Nierstrasz
(University of Bern, Switzerland)
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