Se Paper List

icse 2020 Unblind Your Apps: Predicting Natural-Language Labels for Mobile GUI Components by Deep Learning

Software Visualization and Deep Transfer Learning for Effective Software Defect Prediction

Importance-Driven Deep Learning System Testing

ReluDiff: Differential Verification of Deep Neural Networks

DISSECTOR: Input Validation for Deep Learning Applications by Crossing-layer Dissection

Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty

White-box Fairness Testing through Adversarial Sampling

Structure-Invariant Testing for Machine Translation

Automatic Testing and Improvement of Machine Translation

TRADER: Trace Divergence Analysis and Embedding Regulation for Debugging Recurrent Neural Networks

Taxonomy of Real Faults in Deep Learning Systems

Repairing Deep Neural Networks: Fix Patterns and Challenges

Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks

An Empirical Study on Program Failures of Deep Learning Jobs