Gunel Jahangirova

49 papers A* 3A 9B 1Journal 24Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops. CoRR Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni
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
2026	J	`jnl`	Understanding LLM-Driven Test Oracle Generation. CoRR Adam Bodicoat, Gunel Jahangirova, Valerio Terragni
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`	A Taxonomy of Real Faults in Hybrid Quantum-Classical Architectures. CoRR Avner Bensoussan, Gunel Jahangirova, Mohammad Reza Mousavi
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	—	`conf`	Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development. ResponibleSE@SIGSOFT FSE Kuen Sum Cheung, Mayuri Kaul, Gunel Jahangirova, Mohammad Reza Mousavi, Eric Zie
2025	J	`jnl`	Comparative Analysis of Carbon Footprint in Manual vs. LLM-Assisted Code Development. CoRR Kuen Sum Cheung, Mayuri Kaul, Gunel Jahangirova, Mohammad Reza Mousavi, Eric Zie
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	—	`conf`	From Implemented to Expected Behaviors: Leveraging Regression Oracles for Non-regression Fault Detection using LLMs. ICSTW Stefano Ruberto, Judith Perera, Gunel Jahangirova, Valerio Terragni
2025	A	`conf`	LLMLOOP: Improving LLM-Generated Code and Tests Through Automated Iterative Feedback Loops. ICSME Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni
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	—	`conf`	Understanding LLM-Driven Test Oracle Generation. AIware Adam Bodicoat, Gunel Jahangirova, Valerio Terragni
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	—	`conf`	Experience Report of the AWS+KCL Impact Accelerator for Public Sector Engagement. CSEE&T Caitlin M. Bentley, Elena Simperl, Mike Bainbridge, Daisy Ogden, Stefanos Leonardos, Gunel Jahangirova, Joanna Walker, Wenjie Yin, Christopher Hampson
2024	J	`jnl`	GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming. IEEE Trans. Software Eng. Jon Ayerdi, Valerio Terragni, Gunel Jahangirova, Aitor Arrieta, 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	B	`ed.`	Search-Based Software Engineering - 16th International Symposium, SSBSE 2024, Porto de Galinhas, Brazil, July 15, 2024, Proceedings SSBSE Gunel Jahangirova, Foutse Khomh
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	J	`jnl`	Automatically Generating Metamorphic Relations via Genetic Programming. CoRR Jon Ayerdi, Valerio Terragni, Gunel Jahangirova, Aitor Arrieta, Paolo Tonella
2023	—	`conf`	DeepCrime: from Real Faults to Mutation Testing Tool for Deep Learning. ICSE Companion Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2023	—	`conf`	On Testing Ethical Autonomous Decision-Making. Applicable Formal Methods for Safe Industrial Products Michael E. Akintunde, Martim Brandão, Gunel Jahangirova, Hector Menendez, Mohammad Reza Mousavi, Jie Zhang
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
2023	—	`conf`	SBFT Tool Competition 2023 - Java Test Case Generation Track. SBFT Gunel Jahangirova, Valerio Terragni
2023	J	`jnl`	Software testing in the machine learning era. Empir. Softw. Eng. Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha
2022	—	`conf`	SBST Tool Competition 2022. SBST@ICSE Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, Fiorella Zampetti
2022	J	`jnl`	TORACLE 2021 Workshop Summary. ACM SIGSOFT Softw. Eng. Notes Gunel Jahangirova, Valerio Terragni
2021	J	`jnl`	An Empirical Validation of Oracle Improvement. IEEE Trans. Software Eng. Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
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
2021	J	`jnl`	Diversifying Focused Testing for Unit Testing. ACM Trans. Softw. Eng. Methodol. Héctor D. Menéndez, Gunel Jahangirova, Federica Sarro, Paolo Tonella, David Clark
2021	—	`conf`	GAssert: A Fully Automated Tool to Improve Assertion Oracles. ICSE (Companion Volume) Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
2021	J	`jnl`	GAssert: A Fully Automated Tool to Improve Assertion Oracles. CoRR Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
2021	—	`conf`	Improving assertion oracles with evolutionary computation. GECCO Companion Valerio Terragni, Gunel Jahangirova, Mauro Pezzè, Paolo Tonella
2021	A	`conf`	Quality Metrics and Oracles for Autonomous Vehicles Testing. ICST Gunel Jahangirova, Andrea Stocco, Paolo Tonella
2020	A	`conf`	An Empirical Evaluation of Mutation Operators for Deep Learning Systems. ICST Gunel Jahangirova, Paolo Tonella
2020	J	`jnl`	An Empirical Study on Failed Error Propagation in Java Programs with Real Faults. CoRR Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
2020	—	`conf`	Evolutionary improvement of assertion oracles. ESEC/SIGSOFT FSE Valerio Terragni, Gunel Jahangirova, Paolo Tonella, Mauro Pezzè
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	—	`—`	Oracle assessment, improvement and placement. Gunel Jahangirova
2019	J	`jnl`	Taxonomy of Real Faults in Deep Learning Systems. CoRR Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
2018	A	`conf`	OASIs: oracle assessment and improvement tool. ISSTA Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella
2017	A	`conf`	Oracle problem in software testing. ISSTA Gunel Jahangirova
2016	A	`conf`	Test oracle assessment and improvement. ISSTA Gunel Jahangirova, David Clark, Mark Harman, Paolo Tonella