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2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE) (2018)
Campobasso, Italy
March 20, 2018 to March 20, 2018
ISBN: 978-1-5386-5921-2
TABLE OF CONTENTS

[Title page] (PDF)

pp. 1-2

Author index (PDF)

pp. 55

Contents (PDF)

pp. vi

Varying defect prediction approaches during project evolution: A preliminary investigation (Abstract)

Salvatore Geremia , University of Molise, Pesche (IS), Italy
Damian A. Tamburri , TU/e - JADS, s'Hertogenbosch, The Netherlands
pp. 1-6

The role of meta-learners in the adaptive selection of classifiers (Abstract)

Dario Di Nucci , University of Salerno, Italy
Andrea De Lucia , University of Salerno, Italy
pp. 7-12

Machine learning-based run-time anomaly detection in software systems: An industrial evaluation (Abstract)

Fabian Huch , Technical University of Munich Munich, Germany
Mojdeh Golagha , Technical University of Munich Munich, Germany
Ana Petrovska , Technical University of Munich Munich, Germany
Alexander Krauss , QAware GmbH Munich, Germany
pp. 13-18

How high will it be? Using machine learning models to predict branch coverage in automated testing (Abstract)

Giovanni Grano , University of Zurich, Department of Informatics, Switzerland
Timofey V. Titov , University of Zurich, Department of Informatics, Switzerland
Sebastiano Panichella , University of Zurich, Department of Informatics, Switzerland
Harald C. Gall , University of Zurich, Department of Informatics, Switzerland
pp. 19-24

Ensemble techniques for software change prediction: A preliminary investigation (Abstract)

Gemma Catolino , University of Salerno, Italy
Filomena Ferrucci , University of Salerno, Italy
pp. 25-30

Co-evolution analysis of production and test code by learning association rules of changes (Abstract)

Laszlo Vidacs , MTA-SZTE Research Group on Artificial Intelligence, University of Szeged, Hungary
Martin Pinzger , Software Engineering Research Group, University of Klagenfurt, Austria
pp. 31-36

ConfigFile++: Automatic comment enhancement for misconfiguration prevention (Abstract)

Yuanliang Zhang , College of Computer Science, National University of Defense Technology, China
Shanshan Li , College of Computer Science, National University of Defense Technology, China
Xiangyang Xu , College of Computer Science, National University of Defense Technology, China
Xiangke Liao , College of Computer Science, National University of Defense Technology, China
Shazhou Yang , College of Computer Science, National University of Defense Technology, China
Yun Xiong , Shanghai Key Lab of Data Science, School of Computer Science, Fudan University, China
pp. 37-42

Investigating type declaration mismatches in Python (Abstract)

Luca Pascarella , Delft University of Technology, The Netherlands
Achyudh Ram , Delft University of Technology, The Netherlands
Azqa Nadeem , Delft University of Technology, The Netherlands
Dinesh Bisesser , Delft University of Technology, The Netherlands
Norman Knyazev , Delft University of Technology, The Netherlands
Alberto Bacchelli , University of Zurich, Switzerland
pp. 43-48

User-perceived reusability estimation based on analysis of software repositories (Abstract)

Michail Papamichail , Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece
Themistoklis Diamantopoulos , Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece
Ilias Chrysovergis , Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece
Philippos Samlidis , Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece
Andreas Symeonidis , Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Thessaloniki, Greece
pp. 49-54
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