Taxonomy of real faults in deep learning systems. - Nargiz Humbatova; Gunel Jahangirova; Gabriele Bavota; Vincenzo Riccio; Andrea Stocco 001; Paolo Tonella (ICSE, 2020)

Testing machine learning based systems: a systematic mapping. - Vincenzo Riccio; Gunel Jahangirova; Andrea Stocco 001; Nargiz Humbatova; Michael Weiss 004; Paolo Tonella (Empir. Softw. Eng., 2020)

Dataset of Real Faults in Deep Learning Systems. - Nargiz Humbatova; Gunel Jahangirova; Gabriele Bavota; Vincenzo Riccio; Andrea Stocco 001; Paolo Tonella (Zenodo, 2020)

DeepCrime: mutation testing of deep learning systems based on real faults. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (ISSTA, 2021)

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. - Vincenzo Riccio; Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (ASE, 2021)

DeepCrime and DeepMutation++ mutations for UnityEyes and Movie Recommender Systems. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime mutations for MNIST. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime and DeepMutation++ mutations for MNIST. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime mutations for Udacity self-driving car system. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime and DeepMutation++ mutations for Udacity self-driving car system. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime mutations for Speaker Recognition system. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime and DeepMutation++ mutations for Speaker Recognition system. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

Replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

Replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime: Mutation Testing of Deep Learning Systems Based on Real Faults (Tool). - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper. - Vincenzo Riccio; Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (ICSE Companion, 2023)

Repairing DNN Architecture: Are We There Yet? - Jinhan Kim; Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella; Shin Yoo (ICST, 2023)

Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (ICST, 2024)

muPRL: 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 (CoRR, 2024)

An Empirical Study of Fault Localisation Techniques for Deep Learning. - Nargiz Humbatova; Jinhan Kim; Gunel Jahangirova; Shin Yoo; Paolo Tonella (CoRR, 2024)

Real Faults in Deep Learning Fault Benchmarks: How Real Are They? - Gunel Jahangirova; Nargiz Humbatova; Jinhan Kim; Shin Yoo; Paolo Tonella (CoRR, 2024)

Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values: Replication Package. - Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2024)

$ mu text{PRL}$: 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, 2025)

MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning. - Jinhan Kim; Nargiz Humbatova; Gunel Jahangirova; Shin Yoo; Paolo Tonella (CoRR, 2025)

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs. - Jinhan Kim; Nargiz Humbatova; Gunel Jahangirova; Shin Yoo; Paolo Tonella (CoRR, 2025)

New Formulation of DNN Statistical Mutation Killing for Ensuring Monotonicity: A Technical Report. - Jinhan Kim; Nargiz Humbatova; Gunel Jahangirova; Shin Yoo; Paolo Tonella (CoRR, 2025)

An empirical study of fault localisation techniques for deep neural networks. - Nargiz Humbatova; Jinhan Kim; Gunel Jahangirova; Shin Yoo; Paolo Tonella (Empir. Softw. Eng., 2025)