133 citations · 365 across the 73 of their papers we have counts for
5 papers · 1 filter
FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. A Case Study on Mutation Testing and Program Repair
Maxime Cordy, Renaud Rwemalika, Mike Papadakis +1
Much research on software testing makes an implicit assumption that test failures are deterministic such that they always witness the presence of the same defects. However, this as…
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique
Salah Ghamizi, Maxime Cordy, Mike Papadakis +1
We propose adversarial embedding, a new steganography and watermarking technique that embeds secret information within images. The key idea of our method is to use deep neural netw…
Automatic Testing and Improvement of Machine Translation
Zeyu Sun, Jie M. Zhang, Mark Harman +2
This paper presents TransRepair, a fully automatic approach for testing and repairing the consistency of machine translation systems. TransRepair combines mutation with metamorphic…
Test Selection for Deep Learning Systems
Wei Ma, Mike Papadakis, Anestis Tsakmalis +2
Testing of deep learning models is challenging due to the excessive number and complexity of computations involved. As a result, test data selection is performed manually and in an…
Automated Search for Configurations of Deep Neural Network Architectures
Salah Ghamizi, Maxime Cordy, Mike Papadakis +1
Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems require manual configuration and tuning. To this end,…