Publications

µPRL: a Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults

Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella

ICSE'25

Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

ICST'24

DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

ICSE Companion'23

Repairing DNN Architecture: Are We There Yet?

Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo

ICST'23

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score

Vincenzo Riccio, Humbatova Nargiz, Gunel Jahangirova, and Paolo Tonella

ASE'21

DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults

Humbatova Nargiz, Gunel Jahangirova, and Paolo Tonella

ISSTA'21

Taxonomy of real faults in deep learning systems

Humbatova Nargiz, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, 

and Paolo Tonella

ICSE'20

Testing machine learning based systems: a systematic mapping

Vincenzo Riccio, Jahangirova Gunel, Andrea Stocco, Nargiz Humbatova, Michael Weiss, 

and Paolo Tonella

Empirical Software Engineering (2020)