The Community for Technology Leaders
2017 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) (2017)
Klagenfurt, Austria
Feb. 21, 2017 to Feb. 21, 2017
ISBN: 978-1-5090-6598-1
TABLE OF CONTENTS

[Front cover] (PDF)

pp. c1

Author index (PDF)

pp. 39

Using source code metrics to predict change-prone web services: A case-study on ebay services (Abstract)

Lov Kumar , NIT Rourkela, India
Santanu Kumar Rath , NIT Rourkela, India
Ashish Sureka , ABB Corporate Research, India
pp. 1-7

Investigating code smell co-occurrences using association rule learning: A replicated study (Abstract)

Fabio Palomba , Delft University of Technology, The Netherlands
Rocco Oliveto , University of Molise, Italy
Andrea De Lucia , University of Salerno, Italy
pp. 8-13

Using machine learning to design a flexible LOC counter (Abstract)

Miroslaw Ochodek , Poznan University of Technology, Poland
Miroslaw Staron , Chalmers - University of Gothenburg, Sweden
Dominik Bargowski , Poznan University of Technology, Poland
Wilhelm Meding , Ericsson AB, Sweden
Regina Hebig , Chalmers - University of Gothenburg, Sweden
pp. 14-20

Machine learning for finding bugs: An initial report (Abstract)

Timothy Chappelly , Queensland University of Technology, Brisbane, Australia
Cristina Cifuentes , Oracle Labs, Brisbane, Australia
Padmanabhan Krishnan , Oracle Labs, Brisbane, Australia
Shlomo Gevay , Queensland University of Technology, Brisbane, Australia
pp. 21-26

Automatic feature selection by regularization to improve bug prediction accuracy (Abstract)

Haidar Osman , Software Composition Group, University of Bern Bern, Switzerland
Mohammad Ghafari , Software Composition Group, University of Bern Bern, Switzerland
Oscar Nierstrasz , Software Composition Group, University of Bern Bern, Switzerland
pp. 27-32

Hyperparameter optimization to improve bug prediction accuracy (Abstract)

Haidar Osman , Software Composition Group, University of Bern Bern, Switzerland
Mohammad Ghafari , Software Composition Group, University of Bern Bern, Switzerland
Oscar Nierstrasz , Software Composition Group, University of Bern Bern, Switzerland
pp. 33-38
87 ms
(Ver 3.3 (11022016))