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2020 – today
- 2024
[j9]Matteo Biagiola
, Andrea Stocco, Vincenzo Riccio, Paolo Tonella:
Two is better than one: digital siblings to improve autonomous driving testing. Empir. Softw. Eng. 29(4): 72 (2024)- [j8]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Focused Test Generation for Autonomous Driving Systems. ACM Trans. Softw. Eng. Methodol. 33(6): 152 (2024) - [c16]Vincenzo Riccio, Giancarlo Sorrentino, Ettore Zamponi, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra:
RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications. SEAMS@ICSE 2024: 161-167 - [i8]Amr Abdellatif, Xingcheng Chen, Vincenzo Riccio, Andrea Stocco:
Deep Learning System Boundary Testing through Latent Space Style Mixing. CoRR abs/2408.06258 (2024) - 2023
- [j7]Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha:
Software testing in the machine learning era. Empir. Softw. Eng. 28(3): 74 (2023) - [j6]Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio:
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Softw. Eng. Notes 48(4): 39-40 (2023) - [j5]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32(2): 49:1-49:38 (2023) - [c15]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. ESEM 2023: 1-11 - [c14]Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio:
SBFT Tool Competition 2023 - Cyber-Physical Systems Track. SBFT 2023: 45-48 - [c13]Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. ICSE 2023: 1161-1173 - [c12]Vincenzo Riccio, Giancarlo Sorrentino, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra:
Engineering Self-adaptive Microservice Applications: An Experience Report. ICSOC (1) 2023: 227-242 - [c11]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
DeepAtash: Focused Test Generation for Deep Learning Systems. ISSTA 2023: 954-966 - [c10]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search. Software Engineering 2023: 131-132 - [d15]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. Version v0.1.0. Zenodo, 2023 [all versions]
- [d14]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. Version v0.1.0. Zenodo, 2023 [all versions] - [d13]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version 1. Zenodo, 2023 [all versions] - [d12]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version 2. Zenodo, 2023 [all versions] - [d11]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d10]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d9]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d8]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d7]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d6]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. Version v0.1.0. Zenodo, 2023 [all versions] - [d5]Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella:
Replication Package: DeepAtash-LR: Focused Test Generation for Autonomous Driving Systems. Zenodo, 2023 - [i7]Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella:
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing. CoRR abs/2305.08060 (2023) - 2022
- [c9]Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, Fiorella Zampetti:
SBST Tool Competition 2022. SBST@ICSE 2022: 25-32 - [i6]Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini:
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report. CoRR abs/2209.05947 (2022) - [i5]Vincenzo Riccio, Paolo Tonella:
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. CoRR abs/2212.11368 (2022) - 2021
- [c8]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search. ISSTA 2021: 79-90 - [c7]Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. ASE 2021: 355-367 - [c6]Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, Vincenzo Riccio:
SBST Tool Competition 2021. SBST@ICSE 2021: 20-27 - [d4]Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper. Zenodo, 2021 - [d3]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. Version v0.1.0. Zenodo, 2021 [all versions] - [d2]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. Version v0.1.0. Zenodo, 2021 [all versions] - [i4]Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella:
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. CoRR abs/2107.06997 (2021) - [i3]Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella:
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. CoRR abs/2109.07514 (2021) - 2020
- [j4]Domenico Amalfitano, Vincenzo Riccio, Porfirio Tramontana, Anna Rita Fasolino:
Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps. IEEE Access 8: 12217-12231 (2020) - [j3]Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella:
Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. 25(6): 5193-5254 (2020) - [c5]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of real faults in deep learning systems. ICSE 2020: 1110-1121 - [c4]Vincenzo Riccio, Paolo Tonella:
Model-based exploration of the frontier of behaviours for deep learning system testing. ESEC/SIGSOFT FSE 2020: 876-888 - [d1]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Dataset of Real Faults in Deep Learning Systems. Zenodo, 2020 - [i2]Vincenzo Riccio, Paolo Tonella:
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing. CoRR abs/2007.02787 (2020)
2010 – 2019
- 2019
- [j2]Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, Anna Rita Fasolino:
Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning. Inf. Softw. Technol. 105: 95-116 (2019) - [i1]Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella:
Taxonomy of Real Faults in Deep Learning Systems. CoRR abs/1910.11015 (2019) - 2018
- [b1]Vincenzo Riccio:
Enhancing Automated GUI Exploration Techniques for Android Mobile Applications. University of Naples Federico II, Italy, 2018 - [j1]Domenico Amalfitano, Vincenzo Riccio, Ana C. R. Paiva, Anna Rita Fasolino:
Why does the orientation change mess up my Android application? From GUI failures to code faults. Softw. Test. Verification Reliab. 28(1) (2018) - [c3]Vincenzo Riccio, Domenico Amalfitano, Anna Rita Fasolino:
Is this the lifecycle we really want?: an automated black-box testing approach for Android activities. ISSTA/ECOOP Workshops 2018: 68-77 - 2017
- [c2]Domenico Amalfitano, Nicola Amatucci, Vincenzo De Simone, Vincenzo Riccio, Anna Rita Fasolino:
Towards a Thing-In-the-Loop approach for the Verification and Validation of IoT systems. SafeThings@SenSys 2017: 57-63 - 2015
- [c1]Domenico Amalfitano, Vincenzo De Simone, Anna Rita Fasolino, Vincenzo Riccio:
Comparing Model Coverage and Code Coverage in Model Driven Testing: An Exploratory Study. ASE Workshops 2015: 70-73
Coauthor Index
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last updated on 2024-10-15 21:39 CEST by the dblp team
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