Nargiz Humbatova

According to our database, Nargiz Humbatova authored at least 28 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., October, 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, July, 2025

Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs.

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

CoRR, June, 2025

MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning.

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

CoRR, January, 2025

$\mu \text{PRL}$: 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

Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024

Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values: Replication Package.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, January, 2024

Real Faults in Deep Learning Fault Benchmarks: How Real Are They?

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

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

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

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2024

2023

Repairing DNN Architecture: Are We There Yet?

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

Proceedings of the IEEE Conference on Software Testing, Verification and Validation, 2023

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

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

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

Dataset, July, 2021

DeepCrime: Mutation Testing of Deep Learning Systems Based on Real Faults (Tool).

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, July, 2021

Replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

Replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime and DeepMutation++ mutations for Speaker Recognition system.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime mutations for Speaker Recognition system.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime and DeepMutation++ mutations for Udacity self-driving car system.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime mutations for Udacity self-driving car system.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime and DeepMutation++ mutations for MNIST.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime mutations for MNIST.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

DeepCrime and DeepMutation++ mutations for UnityEyes and Movie Recommender Systems.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Dataset, May, 2021

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

Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

DeepCrime: mutation testing of deep learning systems based on real faults.

Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

2020

Dataset of Real Faults in Deep Learning Systems.

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

Dataset, February, 2020

Testing machine learning based systems: a systematic mapping.

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

Empir. Softw. Eng., 2020

Taxonomy of real faults in deep learning systems.

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

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020