MaLTeSQuE 2017 – Proceedings

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)


@InProceedings{MaLTeSQuE17p1, author = {Lov Kumar and Santanu Kumar Rath and Ashish Sureka}, title = {Using Source Code Metrics to Predict Change-Prone Web Services: A Case-Study on eBay Services}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {1-0}, doi = {}, year = {2017}, }

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)


@InProceedings{MaLTeSQuE17p8, author = {Fabio Palomba and Rocco Oliveto and Andrea De Lucia}, title = {Investigating Code Smell Co-occurrences using Association Rule Learning: A Replicated Study}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {8-7}, doi = {}, year = {2017}, }

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)


@InProceedings{MaLTeSQuE17p14, author = {Miroslaw Ochodek and Miroslaw Staron and Dominik Bargowski and Wilhelm Meding and Regina Hebig}, title = {Using Machine Learning to Design a Flexible LOC Counter}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {14-13}, doi = {}, year = {2017}, }

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)


@InProceedings{MaLTeSQuE17p21, author = {Timothy Chappell and Cristina Cifuentes and Padmanabhan Krishnan and Shlomo Geva}, title = {Machine Learning for Finding Bugs: An Initial Report}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {21-20}, doi = {}, year = {2017}, }

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


@InProceedings{MaLTeSQuE17p27, author = {Haidar Osman and Mohammad Ghafari and Oscar Nierstrasz}, title = {Automatic Feature Selection by Regularization to Improve Bug Prediction Accuracy}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {27-26}, doi = {}, year = {2017}, }

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


@InProceedings{MaLTeSQuE17p33, author = {Haidar Osman and Mohammad Ghafari and Oscar Nierstrasz}, title = {Hyperparameter Optimization to Improve Bug Prediction Accuracy}, booktitle = {Proc.\ MaLTeSQuE}, publisher = {IEEE}, pages = {33-32}, doi = {}, year = {2017}, }

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