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7th RAISE@ICSE 2019: Montreal, QC, Canada

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  - conf/icse/2019raise
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Tim Menzies, Burak Turhan:
Proceedings of the 7th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering, RAISE@ICSE 2019, Montreal, QC, Canada, May 28, 2019. IEEE / ACM 2019, ISBN 978-1-7281-2272-4
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  - conf/icse/Wright019
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Ian Wright, Albert Ziegler:
The standard coder: a machine learning approach to measuring the effort required to produce source code change. 1-7
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  - conf/icse/FerencHGABG19
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Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy:
Challenging machine learning algorithms in predicting vulnerable JavaScript functions. 8-14
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  - conf/icse/KarthikM19
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Suhrid Karthik, Nenad Medvidovic:
Automatic detection of latent software component relationships from online Q&A sites. 15-21
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  - conf/icse/BehjatiABT19
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Razieh Behjati, Erik Arisholm, Margrethe M. Bedregal, Chao Tan:
Synthetic test data generation using recurrent neural networks: a position paper. 22-27
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  - conf/icse/GharibiWRL19
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Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee:
ModelKB: towards automated management of the modeling lifecycle in deep learning. 28-34
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  - conf/icse/HeseniusSMKG19
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Marc Hesenius, Nils Schwenzfeier, Ole Meyer, Wilhelm Koop, Volker Gruhn:
Towards a software engineering process for developing data-driven applications. 35-41
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Ole Meyer, Volker Gruhn:
Towards concept based software engineering for intelligent agents. 42-48
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  - conf/icse/HumphreysD19
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Jack Humphreys, Hoa Khanh Dam:
An explainable deep model for defect prediction. 49-55

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