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2007.02787
Cited By
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
6 July 2020
Vincenzo Riccio
Paolo Tonella
AAML
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Papers citing
"Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing"
41 / 41 papers shown
Towards Assessing Deep Learning Test Input Generators
Seif Mzoughi
Ahmed Hajyahmed
Mohamed Elshafei
Foutse Khomh anb Diego Elias Costa
D. Costa
AAML
342
1
0
03 Apr 2025
On the Mistaken Assumption of Interchangeable Deep Reinforcement Learning Implementations
International Conference on Software Engineering (ICSE), 2025
Rajdeep Singh Hundal
Yan Xiao
Xiaochun Cao
Jin Song Dong
Manuel Rigger
488
0
0
28 Mar 2025
Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems
D. Humeniuk
Foutse Khomh
267
0
0
26 Mar 2025
Benchmarking Generative AI Models for Deep Learning Test Input Generation
International Conference on Information Control Systems & Technologies (ICST), 2024
Maryam
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
VLM
216
11
0
23 Dec 2024
Generating Critical Scenarios for Testing Automated Driving Systems
Tien N Nguyen
Truong-Giang Vuong
Hong-Nam Duong
Son Nguyen
H. Vo
Toshiaki Aoki
Thu-Trang Nguyen
262
1
0
03 Dec 2024
In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators
International Conference on Automated Software Engineering (ASE), 2024
D. Humeniuk
Houssem Ben Braiek
Thomas Reid
Foutse Khomh
308
2
0
25 Oct 2024
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
Empirical Software Engineering (EMSE), 2024
Lev Sorokin
Damir Safin
Shiva Nejati
237
5
0
15 Oct 2024
Learning test generators for cyber-physical systems
J. Peltomäki
Ivan Porres
177
2
0
04 Oct 2024
Bridging the Gap between Real-world and Synthetic Images for Testing Autonomous Driving Systems
International Conference on Automated Software Engineering (ASE), 2024
Mohammad Hossein Amini
Shiva Nejati
286
7
0
25 Aug 2024
LeCov: Multi-level Testing Criteria for Large Language Models
Xuan Xie
Yuheng Huang
Yuheng Huang
Da Song
Fuyuan Zhang
Felix Juefei-Xu
Lei Ma
ELM
240
0
0
20 Aug 2024
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
318
31
0
29 Apr 2024
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
L. Giamattei
Matteo Biagiola
R. Pietrantuono
S. Russo
Paolo Tonella
234
6
0
20 Mar 2024
Beyond Accuracy: An Empirical Study on Unit Testing in Open-source Deep Learning Projects
Han Wang
Sijia Yu
Chunyang Chen
Burak Turhan
Xiaodong Zhu
ELM
MLAU
238
5
0
26 Feb 2024
GIST: Generated Inputs Sets Transferability in Deep Learning
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Florian Tambon
Foutse Khomh
G. Antoniol
AAML
550
1
0
01 Nov 2023
Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
D. Humeniuk
Foutse Khomh
G. Antoniol
188
8
0
24 Aug 2023
Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
IEEE Transactions on Software Engineering (TSE), 2023
Matteo Biagiola
Paolo Tonella
249
14
0
20 Jul 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Matteo Biagiola
Paolo Tonella
336
32
0
22 May 2023
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
International Symposium on Software Testing and Analysis (ISSTA), 2023
Yisong Xiao
Aishan Liu
Tianlin Li
Xianglong Liu
345
41
0
19 May 2023
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Empirical Software Engineering (EMSE), 2023
Matteo Biagiola
Andrea Stocco
Vincenzo Riccio
Paolo Tonella
366
22
0
14 May 2023
Testing the Channels of Convolutional Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2023
Kang Choi
Donghyun Son
Younghoon Kim
Jiwon Seo
187
1
0
06 Mar 2023
Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search
IEEE Transactions on Software Engineering (TSE), 2023
S. Sharifi
Donghwan Shin
Lionel C. Briand
Nathan Aschbacher
321
5
0
31 Jan 2023
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
M. Attaoui
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
AI4CE
371
10
0
31 Jan 2023
AmbieGen: A Search-based Framework for Autonomous Systems Testing
Science of Computer Programming (SCP), 2023
D. Humeniuk
Foutse Khomh
G. Antoniol
287
20
0
01 Jan 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
International Conference on Software Engineering (ICSE), 2022
Vincenzo Riccio
Paolo Tonella
AAML
247
38
0
21 Dec 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
International Conference on Software Engineering (ICSE), 2022
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
315
51
0
27 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection
Zhong Pei
Lin Liu
Chen Wang
Jianmin Wang
VLM
281
38
0
03 Oct 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Empirical Software Engineering (EMSE), 2022
Michael Weiss
A. Gómez
Paolo Tonella
AAML
250
7
0
21 Jul 2022
Hierarchical Distribution-Aware Testing of Deep Learning
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Wei Huang
Xingyu Zhao
Alec Banks
V. Cox
Xiaowei Huang
OOD
AAML
323
15
0
17 May 2022
Prioritizing Corners in OoD Detectors via Symbolic String Manipulation
Automated Technology for Verification and Analysis (ATVA), 2022
Chih-Hong Cheng
Changshun Wu
Emmanouil Seferis
Saddek Bensalem
313
3
0
16 May 2022
Simulator-based explanation and debugging of hazard-triggering events in DNN-based safety-critical systems
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Hazem M. Fahmy
F. Pastore
Lionel C. Briand
Thomas Stifter
AAML
368
18
0
01 Apr 2022
A Search-Based Framework for Automatic Generation of Testing Environments for Cyber-Physical Systems
Information and Software Technology (IST), 2022
D. Humeniuk
Foutse Khomh
G. Antoniol
185
29
0
23 Mar 2022
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing
M. H. Moghadam
Markus Borg
Mehrdad Saadatmand
Seyed Jalaleddin Mousavirad
M. Bohlin
B. Lisper
277
13
0
22 Mar 2022
Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems
IEEE Transactions on Software Engineering (TSE), 2021
Andrea Stocco
Brian Pulfer
Paolo Tonella
394
101
0
21 Dec 2021
Finding Deviated Behaviors of the Compressed DNN Models for Image Classifications
ACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Yongqiang Tian
Wuqi Zhang
Ming Wen
Shing-Chi Cheung
Chengnian Sun
Shiqing Ma
Yu Jiang
313
10
0
06 Dec 2021
Benchmarking Safety Monitors for Image Classifiers with Machine Learning
Raul Sena Ferreira
J. Arlat
Jérémie Guiochet
H. Waeselynck
243
27
0
04 Oct 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio
Nargiz Humbatova
Gunel Jahangirova
Paolo Tonella
299
50
0
15 Sep 2021
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Tahereh Zohdinasab
Vincenzo Riccio
Alessio Gambi
Paolo Tonella
246
94
0
05 Jul 2021
OneLog: Towards End-to-End Training in Software Log Anomaly Detection
International Conference on Automated Software Engineering (ASE), 2021
Shayan Hashemi
Mika Mäntylä
110
0
0
15 Apr 2021
Towards Practical Robustness Analysis for DNNs based on PAC-Model Learning
International Conference on Software Engineering (ICSE), 2021
Renjue Li
Pengfei Yang
Cheng-Chao Huang
Youcheng Sun
Bai Xue
Lijun Zhang
AAML
415
21
0
25 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
Journal of Systems and Software (JSS), 2020
G. Giray
410
164
0
14 Dec 2020
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
International Symposium on Software Testing and Analysis (ISSTA), 2020
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
Thomas Stifter
Jun Wang
AAML
258
21
0
11 Dec 2020
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