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MaLTeSQuE@ESEC/SIGSOFT FSE 2019: Tallinn, Estonia

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  - conf/sigsoft/2019maltesque
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Francesca Arcelli Fontana, Bartosz Walter, Apostolos Ampatzoglou, Fabio Palomba, Gilles Perrouin, Mathieu Acher, Maxime Cordy, Xavier Devroey:
Proceedings of the 3rd ACM SIGSOFT International Workshop on Machine Learning Techniques for Software Quality Evaluation, MaLTeSQuE@ESEC/SIGSOFT FSE 2019, Tallinn, Estonia, August 27, 2019. ACM 2019, ISBN 978-1-4503-6855-1

Testing and Debugging

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Aravind Ashok Nair, Karl Meinke, Sigrid Eldh:
Leveraging mutants for automatic prediction of metamorphic relations using machine learning. 1-6
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Markus Borg, Oscar Svensson, Kristian Berg, Daniel Hansson:
SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project. 7-12

On the Role of Data

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Harald Foidl, Michael Felderer:
Risk-based data validation in machine learning-based software systems. 13-18
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Fabiano Pecorelli, Dario Di Nucci, Coen De Roover, Andrea De Lucia:
On the role of data balancing for machine learning-based code smell detection. 19-24

Quality Attributes

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  - conf/sigsoft/RahmanHTS19
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Md. Abdur Rahman, Md. Ariful Haque, Md. Nurul Ahad Tawhid, Md. Saeed Siddik:
Classifying non-functional requirements using RNN variants for quality software development. 25-30
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Nickolay Viuginov, Andrey Filchenkov:
A machine learning based automatic folding of dynamically typed languages. 31-36
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Valentina Lenarduzzi, Antonio Martini, Davide Taibi, Damian Andrew Tamburri:
Towards surgically-precise technical debt estimation: early results and research roadmap. 37-42

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