Nargiz Humbatova

20 papers A* 3A 3Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Revisiting "Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion": A Critical Review and Implications on DNN Coverage Testing. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	A*	`conf`	$\mu \text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults. ICSE Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella
2025	J	`jnl`	An empirical study of fault localisation techniques for deep neural networks. Empir. Softw. Eng. Nargiz Humbatova, Jinhan Kim, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	Fault Localisation and Repair for DL Systems: An Empirical Study with LLMs. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	MuFF: Stable and Sensitive Post-training Mutation Testing for Deep Learning. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	New Formulation of DNN Statistical Mutation Killing for Ensuring Monotonicity: A Technical Report. CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2025	J	`jnl`	TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space. CoRR Gianmarco De Vita, Nargiz Humbatova, Paolo Tonella
2024	J	`jnl`	An Empirical Study of Fault Localisation Techniques for Deep Learning. CoRR Nargiz Humbatova, Jinhan Kim, Gunel Jahangirova, Shin Yoo, Paolo Tonella
2024	J	`jnl`	Real Faults in Deep Learning Fault Benchmarks: How Real Are They? CoRR Gunel Jahangirova, Nargiz Humbatova, Jinhan Kim, Shin Yoo, Paolo Tonella
2024	A	`conf`	Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values. ICST Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2024	J	`jnl`	muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults. CoRR Deepak-George Thomas, Matteo Biagiola, Nargiz Humbatova, Mohammad Wardat, Gunel Jahangirova, Hridesh Rajan, Paolo Tonella
2023	—	`conf`	DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning. ICSE Companion Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2023	A	`conf`	Repairing DNN Architecture: Are We There Yet? ICST Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
2023	J	`jnl`	Repairing DNN Architecture: Are We There Yet? CoRR Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella, Shin Yoo
2021	A	`conf`	DeepCrime: mutation testing of deep learning systems based on real faults. ISSTA Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2021	A*	`conf`	DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. ASE Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2021	J	`jnl`	DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. CoRR Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2020	A*	`conf`	Taxonomy of real faults in deep learning systems. ICSE Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
2020	J	`jnl`	Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
2019	J	`jnl`	Taxonomy of Real Faults in Deep Learning Systems. CoRR Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella