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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)

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)

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)

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)

Automatic Feature Selection by Regularization to Improve Bug Prediction Accuracy
Haidar Osman, Mohammad Ghafari, and Oscar Nierstrasz
(University of Bern, Switzerland)

Hyperparameter Optimization to Improve Bug Prediction Accuracy
Haidar Osman, Mohammad Ghafari, and Oscar Nierstrasz
(University of Bern, Switzerland)

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