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1906.10742
Cited By
Machine Learning Testing: Survey, Landscapes and Horizons
19 June 2019
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
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Papers citing
"Machine Learning Testing: Survey, Landscapes and Horizons"
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Title
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code
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Mohammad Amin Alipour
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01 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis
Tushar Sharma
M. Kechagia
Stefanos Georgiou
Rohit Tiwari
Indira Vats
Hadi Moazen
Federica Sarro
25
61
0
18 Oct 2021
Leveraging Automated Unit Tests for Unsupervised Code Translation
Baptiste Roziere
Jie M. Zhang
François Charton
Mark Harman
Gabriel Synnaeve
Guillaume Lample
25
112
0
13 Oct 2021
Automated Testing of AI Models
Swagatam Haldar
Deepak Vijaykeerthy
Diptikalyan Saha
VLM
21
0
0
07 Oct 2021
Trustworthy AI: From Principles to Practices
Bo-wen Li
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
119
356
0
04 Oct 2021
ML4ML: Automated Invariance Testing for Machine Learning Models
Zukang Liao
Pengfei Zhang
Min Chen
VLM
21
3
0
27 Sep 2021
Metamorphic Relation Prioritization for Effective Regression Testing
Madhusudan Srinivasan
Upulee Kanewala
11
11
0
20 Sep 2021
Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets
J. Torres-Sospedra
I. Silva
Lucie Klus
Darwin Quezada-Gaibor
A. Crivello
P. Barsocchi
Cristiano G. Pendão
E. Lohan
J. Nurmi
A. Moreira
11
13
0
20 Sep 2021
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
Hamid Ebabi
M. H. Moghadam
Markus Borg
Gregory Gay
Afonso Fontes
Kasper Socha
11
31
0
16 Sep 2021
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio
Nargiz Humbatova
Gunel Jahangirova
Paolo Tonella
23
36
0
15 Sep 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations
Vihari Piratla
Soumen Chakrabarty
Sunita Sarawagi
11
3
0
14 Aug 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review
Florian Tambon
Gabriel Laberge
Le An
Amin Nikanjam
Paulina Stevia Nouwou Mindom
Y. Pequignot
Foutse Khomh
G. Antoniol
E. Merlo
François Laviolette
30
66
0
26 Jul 2021
HOMRS: High Order Metamorphic Relations Selector for Deep Neural Networks
Florian Tambon
G. Antoniol
Foutse Khomh
AAML
6
0
0
10 Jul 2021
Test for non-negligible adverse shifts
Vathy M. Kamulete
15
3
0
07 Jul 2021
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Tahereh Zohdinasab
Vincenzo Riccio
Alessio Gambi
Paolo Tonella
8
80
0
05 Jul 2021
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin
Aftab Hussain
Mohammad Amin Alipour
Vincent J. Hellendoorn
TDI
40
40
0
16 Jun 2021
ModelDiff: Testing-Based DNN Similarity Comparison for Model Reuse Detection
Yuanchun Li
Ziqi Zhang
Bingyan Liu
Ziyue Yang
Yunxin Liu
11
53
0
11 Jun 2021
Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis
Julia Rosenzweig
E. Brito
H. Kobialka
Maram Akila
Nico M. Schmidt
...
Jan David Schneider
Fabian Hüger
Matthias Rottmann
Sebastian Houben
Tim Wirtz
24
4
0
10 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer
Sina Mohseni
Haotao Wang
Zhiding Yu
Chaowei Xiao
Zhangyang Wang
J. Yadawa
21
31
0
09 Jun 2021
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
Xingyu Zhao
Wei Huang
Alec Banks
V. Cox
David Flynn
S. Schewe
Xiaowei Huang
AAML
UQCV
28
21
0
02 Jun 2021
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
27
211
0
05 May 2021
A Review on Oracle Issues in Machine Learning
Diogo Seca
VLM
AAML
28
3
0
04 May 2021
TimeGym: Debugging for Time Series Modeling in Python
Diogo Seca
AI4TS
TTA
GP
13
0
0
04 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md. Abdullah Al Alamin
Gias Uddin
32
11
0
03 May 2021
Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
Simon Enni
Ira Assent
14
3
0
03 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
13
58
0
29 Apr 2021
Test Automation with Grad-CAM Heatmaps -- A Future Pipe Segment in MLOps for Vision AI?
Markus Borg
Ronald Jabangwe
Simon Åberg
Arvid Ekblom
Ludwig Hedlund
August Lidfeldt
19
18
0
02 Mar 2021
Distribution-Aware Testing of Neural Networks Using Generative Models
Swaroopa Dola
Matthew B. Dwyer
M. Soffa
32
52
0
26 Feb 2021
Testing Framework for Black-box AI Models
Aniya Aggarwal
Samiullah Shaikh
Sandeep Hans
Swastik Haldar
Rema Ananthanarayanan
Diptikalyan Saha
16
8
0
11 Feb 2021
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Fitash Ul Haq
Donghwan Shin
S. Nejati
Lionel C. Briand
OffRL
14
38
0
26 Jan 2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen
Huihan Yao
Yiling Lou
Yanbin Cao
Yuanqiang Liu
Haoyu Wang
Xuanzhe Liu
48
79
0
13 Jan 2021
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
33
120
0
14 Dec 2020
Influence-Driven Data Poisoning in Graph-Based Semi-Supervised Classifiers
Adriano Franci
Maxime Cordy
Martin Gubri
Mike Papadakis
Yves Le Traon
AAML
20
6
0
14 Dec 2020
Explanation from Specification
Harish Naik
Gyorgy Turán
XAI
27
0
0
13 Dec 2020
Risk Management Framework for Machine Learning Security
J. Breier
A. Baldwin
H. Balinsky
Yang Liu
AAML
11
3
0
09 Dec 2020
Empirical Study on the Software Engineering Practices in Open Source ML Package Repositories
Minke Xiu
Ellis E. Eghan
Zhen Ming
Z. Jiang
Bram Adams
19
0
0
02 Dec 2020
ShapeFlow: Dynamic Shape Interpreter for TensorFlow
Sahil Verma
Z. Su
8
11
0
26 Nov 2020
AI Governance for Businesses
Johannes Schneider
Rene Abraham
Christian Meske
Jan vom Brocke
AI4TS
6
67
0
20 Nov 2020
DeepRepair: Style-Guided Repairing for DNNs in the Real-world Operational Environment
Bing Yu
Hua Qi
Qing Guo
Felix Juefei Xu
Xiaofei Xie
L. Ma
Jianjun Zhao
11
5
0
19 Nov 2020
Software engineering for artificial intelligence and machine learning software: A systematic literature review
E. Nascimento
Anh Nguyen-Duc
Ingrid Sundbø
T. Conte
8
40
0
07 Nov 2020
Astraea: Grammar-based Fairness Testing
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
26
27
0
06 Oct 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
34
79
0
17 Sep 2020
The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs
Markus Borg
14
15
0
11 Sep 2020
Smoke Testing for Machine Learning: Simple Tests to Discover Severe Defects
Steffen Herbold
Tobias Haar
9
10
0
03 Sep 2020
Towards Guidelines for Assessing Qualities of Machine Learning Systems
Julien Siebert
Lisa Joeckel
J. Heidrich
K. Nakamichi
Kyoko Ohashi
I. Namba
Rieko Yamamoto
M. Aoyama
28
47
0
25 Aug 2020
Synergy between Machine/Deep Learning and Software Engineering: How Far Are We?
Simin Wang
LiGuo Huang
Jidong Ge
Tengfei Zhang
Haitao Feng
Ming Li
He Zhang
Vincent Ng
AI4CE
12
7
0
12 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
30
90
0
31 Jul 2020
Opening the Software Engineering Toolbox for the Assessment of Trustworthy AI
M. K. Ahuja
M. Belaid
Pierre Bernabé
Mathieu Collet
A. Gotlieb
Chhagan Lal
D. Marijan
S. Sen
Aizaz Sharif
Helge Spieker
11
9
0
14 Jul 2020
Not Your Grandfathers Test Set: Reducing Labeling Effort for Testing
B. Taskazan
Jirí Navrátil
Matthew Arnold
Anupama Murthi
Ganesh Venkataraman
Benjamin Elder
VLM
14
2
0
10 Jul 2020
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