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Proceedings
MALTESQUE
MALTESQUE 2018
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2018 IEEE Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE)
March 20 2018 to March 20 2018
Campobasso, Italy
Table of Contents
[Title page]
Freely available from IEEE.
pp. 1-2
Author index
Freely available from IEEE.
pp. 55-55
Contents
Freely available from IEEE.
pp. vi-vi
Message from the chairs
Freely available from IEEE.
pp. iii-v
Varying defect prediction approaches during project evolution: A preliminary investigation
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pp. 1-6
by
Salvatore Geremia
,
Damian A. Tamburri
The role of meta-learners in the adaptive selection of classifiers
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pp. 7-12
by
Dario Di Nucci
,
Andrea De Lucia
Machine learning-based run-time anomaly detection in software systems: An industrial evaluation
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pp. 13-18
by
Fabian Huch
,
Mojdeh Golagha
,
Ana Petrovska
,
Alexander Krauss
How high will it be? Using machine learning models to predict branch coverage in automated testing
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pp. 19-24
by
Giovanni Grano
,
Timofey V. Titov
,
Sebastiano Panichella
,
Harald C. Gall
Ensemble techniques for software change prediction: A preliminary investigation
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pp. 25-30
by
Gemma Catolino
,
Filomena Ferrucci
Co-evolution analysis of production and test code by learning association rules of changes
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pp. 31-36
by
László Vidács
,
Martin Pinzger
ConfigFile++: Automatic comment enhancement for misconfiguration prevention
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pp. 37-42
by
Yuanliang Zhang
,
Shanshan Li
,
Xiangyang Xu
,
Xiangke Liao
,
Shazhou Yang
,
Yun Xiong
Investigating type declaration mismatches in Python
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pp. 43-48
by
Luca Pascarella
,
Achyudh Ram
,
Azqa Nadeem
,
Dinesh Bisesser
,
Norman Knyazev
,
Alberto Bacchelli
User-perceived reusability estimation based on analysis of software repositories
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pp. 49-54
by
Michail Papamichail
,
Themistoklis Diamantopoulos
,
Ilias Chrysovergis
,
Philippos Samlidis
,
Andreas Symeonidis
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