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MaLTeSQuE@ESEC/SIGSOFT FSE 2020: Virtual Event, USA

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  - conf/sigsoft/2020maltesque
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Foutse Khomh, Pasquale Salza, Gemma Catolino:
Proceedings of the 4th ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2020, Virtual Event, USA, November 13, 2020. ACM 2020, ISBN 978-1-4503-8124-6
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  - conf/sigsoft/LujanPPLL20
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Savanna Lujan, Fabiano Pecorelli, Fabio Palomba, Andrea De Lucia, Valentina Lenarduzzi:
A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction. 1-6
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  - conf/sigsoft/BorovitsKKPNPTH20
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Nemania Borovits, Indika Kumara, Parvathy Krishnan, Stefano Dalla Palma, Dario Di Nucci, Fabio Palomba, Damian A. Tamburri, Willem-Jan van den Heuvel:
DeepIaC: deep learning-based linguistic anti-pattern detection in IaC. 7-12
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  - conf/sigsoft/SteinhauerP20
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Martin Steinhauer, Fabio Palomba:
Speeding up the data extraction of machine learning approaches: a distributed framework. 13-18
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Francesco Lomio, Diego Martínez Baselga, Sergio Moreschini, Heikki Huttunen, Davide Taibi:
RARE: a labeled dataset for cloud-native memory anomalies. 19-24
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  - conf/sigsoft/VasilievKCKLP20
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Roman Vasiliev, Dmitrij V. Koznov, George A. Chernishev, Aleksandr Khvorov, Dmitry V. Luciv, Nikita Povarov:
TraceSim: a method for calculating stack trace similarity. 25-30
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Stefano Dalla Palma, Majid Mohammadi, Dario Di Nucci, Damian A. Tamburri:
Singling the odd ones out: a novelty detection approach to find defects in infrastructure-as-code. 31-36

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