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Finding failures from passed test cases: improving the pattern classification approach to the testing of mesh simplification programs

https://doi.org/10.1002/stvr.408
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What this work says

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

inferredcites →https://doi.org/10.1002/int.1002openalex-snapshot
Using a neural network in the software testing process
inferredcites →https://doi.org/10.1002/stvr.308openalex-snapshot
MuJava: an automated class mutation system
inferredcites →https://doi.org/10.1007/978-1-4471-0347-9_3openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1007/s00371-006-0062-yopenalex-snapshot
R-LODs: fast LOD-based ray tracing of massive models
inferredcites →https://doi.org/10.1007/s11334-006-0002-zopenalex-snapshot
Formal Analysis of Coupling Hypothesis for Logical Faults
inferredcites →https://doi.org/10.1016/b978-0-240-51590-8.50007-xopenalex-snapshot
Digital image processing
inferredcites →https://doi.org/10.1016/j.jss.2005.05.031openalex-snapshot
Automatic goal-oriented classification of failure behaviors for testing XML-based multimedia software applications: An experimental case study
inferredcites →https://doi.org/10.1016/j.jss.2008.07.019openalex-snapshot
PAT: A pattern classification approach to automatic reference oracles for the testing of mesh simplification programs
inferredcites →https://doi.org/10.1016/s0097-8493(97)00082-4openalex-snapshot
A comparison of mesh simplification algorithms
inferredcites →https://doi.org/10.1016/s0305-0548(96)00050-0openalex-snapshot
A new algorithm for the two-polygon containment problem
inferredcites →https://doi.org/10.1023/a:1017181826899openalex-snapshot
Glossary of Terms
inferredcites →https://doi.org/10.1093/comjnl/25.4.465openalex-snapshot
On Testing Non-Testable Programs
inferredcites →https://doi.org/10.1109/32.667877openalex-snapshot
Using test oracles generated from program documentation
inferredcites →https://doi.org/10.1109/38.920624openalex-snapshot
A developer's survey of polygonal simplification algorithms
inferredcites →https://doi.org/10.1109/42.996338openalex-snapshot
A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data
inferredcites →https://doi.org/10.1109/ase.2003.1240304openalex-snapshot
What test oracle should I use for effective GUI testing?
inferredcites →https://doi.org/10.1109/c-m.1978.218136openalex-snapshot
Hints on Test Data Selection: Help for the Practicing Programmer
inferredcites →https://doi.org/10.1109/compsac.2006.24openalex-snapshot
An Empirical Study on the Selection of Good Metamorphic Relations
inferredcites →https://doi.org/10.1109/compsac.2006.71openalex-snapshot
Reference Models and Automatic Oracles for the Testing of Mesh Simplification Software for Graphics Rendering
inferredcites →https://doi.org/10.1109/compsac.2007.167openalex-snapshot
Piping Classification to Metamorphic Testing: An Empirical Study towards Better Effectiveness for the Identification of Failures in Mesh Simplification Programs
inferredcites →https://doi.org/10.1109/icse.1998.671121openalex-snapshot
Helping the automated validation process of user interfaces systems
inferredcites →https://doi.org/10.1109/icse.2003.1201224openalex-snapshot
Automated support for classifying software failure reports
inferredcites →https://doi.org/10.1109/icse.2005.1553583openalex-snapshot
Is mutation an appropriate tool for testing experiments?
inferredcites →https://doi.org/10.1109/im.2001.924423openalex-snapshot
Efficient variants of the ICP algorithm
inferredcites →https://doi.org/10.1109/issre.2004.43openalex-snapshot
Tree-Based Methods for Classifying Software Failures
inferredcites →https://doi.org/10.1109/mmse.2002.1181610openalex-snapshot
Polygonal mesh simplification with face color and boundary edge preservation using quadric error metric
inferredcites →https://doi.org/10.1109/tr.2004.833314openalex-snapshot
Applying Generic Timing Tests for Distributed Multimedia Software Systems
inferredcites →https://doi.org/10.1109/tvcg.2005.50openalex-snapshot
Uniform Remeshing with an Adaptive Domain: A New Scheme for View-Dependent Level-of-Detail Rendering of Meshes
inferredcites →https://doi.org/10.1142/s0218194006002951openalex-snapshot
INTEGRATION TESTING OF CONTEXT-SENSITIVE MIDDLEWARE-BASED APPLICATIONS: A METAMORPHIC APPROACH
inferredcites →https://doi.org/10.1145/1007512.1007539openalex-snapshot
Active learning for automatic classification of software behavior
inferredcites →https://doi.org/10.1145/1061254.1061256openalex-snapshot
A scalable formal method for design and automatic checking of user interfaces
inferredcites →https://doi.org/10.1145/1072997.1072998openalex-snapshot
An extended fault class hierarchy for specification-based testing
inferredcites →https://doi.org/10.1145/1151695.1151696openalex-snapshot
Avoiding coincidental correctness in boundary value analysis
inferredcites →https://doi.org/10.1145/1230100.1230128openalex-snapshot
Real-time mesh simplification using the GPU
inferredcites →https://doi.org/10.1145/1243987.1243988openalex-snapshot
Test conditions for fault classes in Boolean specifications
inferredcites →https://doi.org/10.1145/1276377.1276476openalex-snapshot
Stochastic simplification of aggregate detail
inferredcites →https://doi.org/10.1145/227607.227610openalex-snapshot
An experimental determination of sufficient mutant operators
inferredcites →https://doi.org/10.1145/239098.239116openalex-snapshot
Generating oracles from your favorite temporal logic specifications
inferredcites →https://doi.org/10.1145/258734.258849openalex-snapshot
Surface simplification using quadric error metrics
inferredcites →https://doi.org/10.1145/271771.271793openalex-snapshot
A visual test development environment for GUI systems
inferredcites →https://doi.org/10.1145/353981.353995openalex-snapshot
Image-driven simplification
inferredcites →https://doi.org/10.1145/568760.568863openalex-snapshot
Assertions to better specify the amazon bug
inferredcites →https://doi.org/10.1145/769953.769966openalex-snapshot
Automated testing of virtual reality application interfaces
inferredcites →https://doi.org/10.1145/956750.956795openalex-snapshot
The data mining approach to automated software testing
inferredcites →https://doi.org/10.1145/986537.986570openalex-snapshot
Specification-driven automated testing of GUI-based Java programs
inferredcites →https://doi.org/10.1186/1471-2105-8-389openalex-snapshot
MindSeer: a portable and extensible tool for visualization of structural and functional neuroimaging data
inferredcites →https://doi.org/10.2307/2290035openalex-snapshot
Applied Logistic Regression.

What points at this work

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

inferred← citeshttps://doi.org/10.1002/smr.2465openalex-snapshot
Machine learning‐based test oracles for performance testing of cyber‐physical systems: An industrial case study on elevators dispatching algorithms
inferred← citeshttps://doi.org/10.1007/978-3-031-42212-6_5openalex-snapshot
Metamorphic Testing for Verification and Fault Localization in Industrial Control Systems
inferred← citeshttps://doi.org/10.1007/s11219-017-9392-4openalex-snapshot
A mapping study on testing non-testable systems
inferred← citeshttps://doi.org/10.1007/s11219-019-09459-0openalex-snapshot
A partial oracle for uniformity statistics
inferred← citeshttps://doi.org/10.1016/j.csi.2017.08.002openalex-snapshot
Empirical studies omit reporting necessary details: A systematic literature review of reporting quality in model based testing
inferred← citeshttps://doi.org/10.1016/j.jss.2017.05.043openalex-snapshot
Automated inference of likely metamorphic relations for model transformations
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110574openalex-snapshot
Adaptive metamorphic testing with contextual bandits
inferred← citeshttps://doi.org/10.1016/j.vlsi.2024.102320openalex-snapshot
Using virtual prototypes and metamorphic testing to verify the hardware/software-stack of embedded graphics libraries
inferred← citeshttps://doi.org/10.1109/asp-dac58780.2024.10473799openalex-snapshot
Verifying Embedded Graphics Libraries leveraging Virtual Prototypes and Metamorphic Testing
inferred← citeshttps://doi.org/10.1109/ast52587.2021.00012openalex-snapshot
Using Machine Learning to Build Test Oracles: an Industrial Case Study on Elevators Dispatching Algorithms
inferred← citeshttps://doi.org/10.1109/met.2017.3openalex-snapshot
A Template-Based Approach to Describing Metamorphic Relations
inferred← citeshttps://doi.org/10.1109/qsic.2013.16openalex-snapshot
Oracles Are Hardly Attain'd, and Hardly Understood: Confessions of Software Testing Researchers
inferred← citeshttps://doi.org/10.1109/tr.2019.2892517openalex-snapshot
Machine Learning Applied to Software Testing: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1109/tse.2016.2532875openalex-snapshot
A Survey on Metamorphic Testing
inferred← citeshttps://doi.org/10.1109/tse.2017.2764464openalex-snapshot
Metamorphic Testing of RESTful Web APIs
inferred← citeshttps://doi.org/10.1109/tse.2023.3256322openalex-snapshot
Metamorphic Testing for Web System Security
inferred← citeshttps://doi.org/10.3390/info10120392openalex-snapshot
A Genetic Algorithm-Based Approach for Composite Metamorphic Relations Construction
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