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A Miss Is as Good as A Mile: Metamorphic Testing for Deep Learning Operators

https://doi.org/10.1145/3660796
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jss.2010.11.920openalex-snapshot
Testing and validating machine learning classifiers by metamorphic testing
inferredcites →https://doi.org/10.1016/j.patrec.2020.07.042openalex-snapshot
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
inferredcites →https://doi.org/10.1109/access.2019.2896880openalex-snapshot
Speech Recognition Using Deep Neural Networks: A Systematic Review
inferredcites →https://doi.org/10.1109/apr59189.2023.00012openalex-snapshot
An Analysis of the Automatic Bug Fixing Performance of ChatGPT
inferredcites →https://doi.org/10.1109/ase.2019.00042openalex-snapshot
Continuous Incident Triage for Large-Scale Online Service Systems
inferredcites →https://doi.org/10.1109/icse.2019.00107openalex-snapshot
CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries
inferredcites →https://doi.org/10.1109/icse48619.2023.00105openalex-snapshot
Fuzzing Automatic Differentiation in Deep-Learning Libraries
inferredcites →https://doi.org/10.1109/ieeestd.2020.9091348openalex-snapshot
ISO/IEC/IEEE International Standard - Floating-point arithmetic
inferredcites →https://doi.org/10.1109/met.2019.00008openalex-snapshot
Metamorphic Testing of Android Graphics Drivers
inferredcites →https://doi.org/10.1109/met52542.2021.00010openalex-snapshot
MT4NS: Metamorphic Testing for Network Scanning
inferredcites →https://doi.org/10.1109/tse.2016.2532875openalex-snapshot
A Survey on Metamorphic Testing
inferredcites →https://doi.org/10.1145/3213846.3213858openalex-snapshot
Identifying implementation bugs in machine learning based image classifiers using metamorphic testing
inferredcites →https://doi.org/10.1145/3213846.3213866openalex-snapshot
An empirical study on TensorFlow program bugs
inferredcites →https://doi.org/10.1145/3324884.3416571openalex-snapshot
Audee
inferredcites →https://doi.org/10.1145/3338906.3338955openalex-snapshot
A comprehensive study on deep learning bug characteristics
inferredcites →https://doi.org/10.1145/3361566openalex-snapshot
DeepXplore
inferredcites →https://doi.org/10.1145/3368089.3409720openalex-snapshot
Detecting numerical bugs in neural network architectures
inferredcites →https://doi.org/10.1145/3368089.3409761openalex-snapshot
Deep learning library testing via effective model generation
inferredcites →https://doi.org/10.1145/3377811.3380378openalex-snapshot
Repairing deep neural networks
inferredcites →https://doi.org/10.1145/3460319.3464843openalex-snapshot
Predoo: precision testing of deep learning operators
inferredcites →https://doi.org/10.1145/3468264.3468612openalex-snapshot
Exposing numerical bugs in deep learning via gradient back-propagation
inferredcites →https://doi.org/10.1145/3510003.3510041openalex-snapshot
Free lunch for testing
inferredcites →https://doi.org/10.1145/3510003.3510092openalex-snapshot
Muffin
inferredcites →https://doi.org/10.1145/3510003.3510165openalex-snapshot
EAGLE
inferredcites →https://doi.org/10.1145/3510454.3516835openalex-snapshot
DiffWatch
inferredcites →https://doi.org/10.1145/3524846.3527341openalex-snapshot
Testing ocean software with metamorphic testing
inferredcites →https://doi.org/10.1145/3533767.3534220openalex-snapshot
DocTer: documentation-guided fuzzing for testing deep learning API functions
inferredcites →https://doi.org/10.1145/3533767.3534409openalex-snapshot
Finding bugs in Gremlin-based graph database systems via Randomized differential testing
inferredcites →https://doi.org/10.1145/3540250.3549085openalex-snapshot
Fuzzing deep-learning libraries via automated relational API inference
inferredcites →https://doi.org/10.1145/3548606.3560578openalex-snapshot
SpecDoctor
inferredcites →https://doi.org/10.1145/3583566openalex-snapshot
COMET: Coverage-guided Model Generation For Deep Learning Library Testing
inferredcites →https://doi.org/10.1145/3597926.3598067openalex-snapshot
Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models
inferredcites →https://doi.org/10.1504/ijwgs.2020.110945openalex-snapshot
An iterative metamorphic testing technique for web services and case studies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s11219-025-09716-5openalex-snapshot
Evaluating the effectiveness of neuron coverage metrics: a metamorphic-testing approach
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108297openalex-snapshot
Fine-grained approach to metamorphic slicing: Enhancing fault localization in the absence of oracle
inferred← citeshttps://doi.org/10.1109/ase63991.2025.00016openalex-snapshot
When AllClose Fails: Round-Off Error Estimation for Deep Learning Programs
inferred← citeshttps://doi.org/10.1109/deeptest66595.2025.00010openalex-snapshot
DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
inferred← citeshttps://doi.org/10.1109/icst62969.2025.10988991openalex-snapshot
Black-Box Testing for Practitioners: A Case of the New ISTQB Test Analyst Syllabus
inferred← citeshttps://doi.org/10.1109/issre66568.2025.00028openalex-snapshot
MDPMorph: An MDP-Based Metamorphic Testing Framework for Deep Reinforcement Learning Agents
inferred← citeshttps://doi.org/10.1109/tse.2026.3651022openalex-snapshot
Deep Learning Framework Testing via Model Mutation: How Far Are We?
inferred← citeshttps://doi.org/10.1109/tse.2026.3703362openalex-snapshot
ICE: Reducing Search Space for Error-Inducing Input Detection
inferred← citeshttps://doi.org/10.1145/3716497openalex-snapshot
Deep Learning Library Testing: Definition, Methods and Challenges
inferred← citeshttps://doi.org/10.1145/3797095openalex-snapshot
Verifying Structural Robustness of Deep Neural Network
inferred← citeshttps://doi.org/10.1145/3832194openalex-snapshot
SpectraDL: A Historical Issue-Driven, Test Specification-Assisted Transfer Testing Approach for Deep Learning Frameworks via LLMs
inferred← citeshttps://doi.org/10.1145/3832783.3834345openalex-snapshot
CIPIHunter: Detecting Configuration-Induced Prediction Instability in Deep Learning Frameworks
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