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Publication search results
found 9 matches
- 2019
- Razieh Behjati, Erik Arisholm, Margrethe M. Bedregal, Chao Tan
:
Synthetic test data generation using recurrent neural networks: a position paper. RAISE@ICSE 2019: 22-27 - Rudolf Ferenc, Péter Hegedüs, Péter Gyimesi
, Gábor Antal
, Dénes Bán
, Tibor Gyimóthy:
Challenging machine learning algorithms in predicting vulnerable JavaScript functions. RAISE@ICSE 2019: 8-14 - Gharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee:
ModelKB: towards automated management of the modeling lifecycle in deep learning. RAISE@ICSE 2019: 28-34 - Marc Hesenius
, Nils Schwenzfeier, Ole Meyer, Wilhelm Koop, Volker Gruhn:
Towards a software engineering process for developing data-driven applications. RAISE@ICSE 2019: 35-41 - Jack Humphreys, Hoa Khanh Dam:
An explainable deep model for defect prediction. RAISE@ICSE 2019: 49-55 - Suhrid Karthik, Nenad Medvidovic:
Automatic detection of latent software component relationships from online Q&A sites. RAISE@ICSE 2019: 15-21 - Ole Meyer, Volker Gruhn:
Towards concept based software engineering for intelligent agents. RAISE@ICSE 2019: 42-48 - Ian Wright, Albert Ziegler
:
The standard coder: a machine learning approach to measuring the effort required to produce source code change. RAISE@ICSE 2019: 1-7 - 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 [contents]
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