39 citations
2 papers
cs.CV2019
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
René Schuster, Oliver Wasenmüller, Christian Unger +1
Training a deep neural network is a non-trivial task. Not only the tuning of hyperparameters, but also the gathering and selection of training data, the design of the loss function…
cs.SE2017★ 39 cited
Why feature dependencies challenge the requirements engineering of automotive systems: An empirical study
Andreas Vogelsang, Steffen Fuhrmann
Functional dependencies and feature interactions in automotive software systems are a major source of erroneous and deficient behavior. To overcome these problems, many approaches…