Abstract is missing.
- The standard coder: a machine learning approach to measuring the effort required to produce source code changeIan Wright, Albert Ziegler 0001. 1-7 [doi]
- Challenging machine learning algorithms in predicting vulnerable JavaScript functionsRudolf Ferenc, Péter Hegedüs, Péter Gyimesi, Gábor Antal, Dénes Bán, Tibor Gyimóthy. 8-14 [doi]
- Automatic detection of latent software component relationships from online Q&A sitesSuhrid Karthik, Nenad Medvidovic. 15-21 [doi]
- Synthetic test data generation using recurrent neural networks: a position paperRazieh Behjati, Erik Arisholm, Margrethe M. Bedregal, Chao Tan. 22-27 [doi]
- ModelKB: towards automated management of the modeling lifecycle in deep learningGharib Gharibi, Vijay Walunj, Sirisha Rella, Yugyung Lee. 28-34 [doi]
- Towards a software engineering process for developing data-driven applicationsMarc Hesenius, Nils Schwenzfeier, Ole Meyer, Wilhelm Koop, Volker Gruhn. 35-41 [doi]
- Towards concept based software engineering for intelligent agentsOle Meyer, Volker Gruhn. 42-48 [doi]
- An explainable deep model for defect predictionJack Humphreys, Hoa Khanh Dam. 49-55 [doi]