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Using machine learning to refine Category-Partition test specifications and test suites
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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/stvr.4370030203openalex-snapshot
Classification trees for partition testing
inferredcites →https://doi.org/10.1007/11531142_22openalex-snapshot
Eclat: Automatic Generation and Classification of Test Inputs
inferredcites →https://doi.org/10.1007/s11334-005-0006-0openalex-snapshot
A UML-based approach to system testing
inferredcites →https://doi.org/10.1016/b978-1-55860-639-5.x5000-7openalex-snapshot
Object-Oriented Reengineering Patterns
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.infsof.2004.03.005openalex-snapshot
On the identification of categories and choices for specification-based test case generation
inferredcites →https://doi.org/10.1016/s0164-1212(02)00064-xopenalex-snapshot
Quality assurance under the open source development model
inferredcites →https://doi.org/10.1017/9781108974073.004openalex-snapshot
Introduction to Software Testing
inferredcites →https://doi.org/10.1109/24.556576openalex-snapshot
Sensitivity of reliability-growth models to operational profile errors vs. testing accuracy [software testing]
inferredcites →https://doi.org/10.1109/32.895984openalex-snapshot
Does code decay? Assessing the evidence from change management data
inferredcites →https://doi.org/10.1109/32.908957openalex-snapshot
Dynamically discovering likely program invariants to support program evolution
inferredcites →https://doi.org/10.1109/compsac.2006.153openalex-snapshot
Quality Assurance of Open Source Components: Integrator Point of View
inferredcites →https://doi.org/10.1109/icfem.1997.630406openalex-snapshot
Test case design based on Z and the classification-tree method
inferredcites →https://doi.org/10.1109/icse.2003.1201188openalex-snapshot
Improving test suites via operational abstraction
inferredcites →https://doi.org/10.1109/issre.2004.43openalex-snapshot
Tree-Based Methods for Classifying Software Failures
inferredcites →https://doi.org/10.1109/issre.2007.31openalex-snapshot
Using Machine Learning to Support Debugging with Tarantula
inferredcites →https://doi.org/10.1109/qsic.2008.5openalex-snapshot
Using Machine Learning to Refine Black-Box Test Specifications and Test Suites
inferredcites →https://doi.org/10.1109/tse.2003.1214323openalex-snapshot
A choice relation framework for supporting category-partition test case generation
inferredcites →https://doi.org/10.1109/tse.2005.50openalex-snapshot
Profiling deployed software: assessing strategies and testing opportunities
inferredcites →https://doi.org/10.1109/tse.2006.83openalex-snapshot
Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria
inferredcites →https://doi.org/10.1109/tse.2007.1004openalex-snapshot
Techniques for Classifying Executions of Deployed Software to Support Software Engineering Tasks
inferredcites →https://doi.org/10.1145/1007512.1007539openalex-snapshot
Active learning for automatic classification of software behavior
inferredcites →https://doi.org/10.1145/1013886.1007539openalex-snapshot
Active learning for automatic classification of software behavior
inferredcites →https://doi.org/10.1145/1101908.1101949openalex-snapshot
Empirical evaluation of the tarantula automatic fault-localization technique
inferredcites →https://doi.org/10.1145/1134285.1134299openalex-snapshot
Improving test suites for efficient fault localization
inferredcites →https://doi.org/10.1145/62959.62964openalex-snapshot
The category-partition method for specifying and generating functional tests
inferredcites →https://doi.org/10.5555/776816.776824openalex-snapshot
Improving test suites via operational abstraction
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.1868openalex-snapshot
Extending Category Partition's B ase C hoice criterion to better support constraints
inferred← citeshttps://doi.org/10.1002/stvr.1575openalex-snapshot
Assessing and generating test sets in terms of behavioural adequacy
inferred← citeshttps://doi.org/10.1007/978-3-030-64881-7_16openalex-snapshot
Automatic Fairness Testing of Machine Learning Models
inferred← citeshttps://doi.org/10.1007/978-3-319-96562-8_4openalex-snapshot
Testing Functional Black-Box Programs Without a Specification
inferred← citeshttps://doi.org/10.1007/978-3-642-24580-0_15openalex-snapshot
Assessing Test Adequacy for Black-Box Systems without Specifications
inferred← citeshttps://doi.org/10.1007/978-3-642-30598-6_12openalex-snapshot
Choices, Choices: Comparing between CHOC’LATE and the Classification-Tree Methodology
inferred← citeshttps://doi.org/10.1007/s11219-010-9109-4openalex-snapshot
Contributions of tester experience and a checklist guideline to the identification of categories and choices for software testing
inferred← citeshttps://doi.org/10.1016/b978-0-12-396535-6.00004-1openalex-snapshot
Machine Learning and Event-Based Software Testing: Classifiers for Identifying Infeasible GUI Event Sequences
inferred← citeshttps://doi.org/10.1109/access.2018.2809600openalex-snapshot
A Systematic Review on Test Suite Reduction: Approaches, Experiment’s Quality Evaluation, and Guidelines
inferred← citeshttps://doi.org/10.1109/asew60602.2023.00027openalex-snapshot
Continuous Domain Input Abstraction and Fault Detection Capability in Combinatorial Testing
inferred← citeshttps://doi.org/10.1109/hase.2016.45openalex-snapshot
An Extension of Category Partition Testing for Highly Constrained Systems
inferred← citeshttps://doi.org/10.1109/iccp.2013.6646121openalex-snapshot
Towards combining functional requirements tests and unit tests as a preventive practice against software defects
inferred← citeshttps://doi.org/10.1109/icse.2019.00055openalex-snapshot
Scalable Approaches for Test Suite Reduction
inferred← citeshttps://doi.org/10.1109/icst.2012.110openalex-snapshot
Behaviourally Adequate Software Testing
inferred← citeshttps://doi.org/10.1109/icst.2017.30openalex-snapshot
Uncertainty-Driven Black-Box Test Data Generation
inferred← citeshttps://doi.org/10.1109/icstw.2011.73openalex-snapshot
Identifying Infeasible GUI Test Cases Using Support Vector Machines and Induced Grammars
inferred← citeshttps://doi.org/10.1109/icstw.2013.41openalex-snapshot
Experimenting with Category Partition's 1-Way and 2-Way Test Selection Criteria
inferred← citeshttps://doi.org/10.1109/icstw.2018.00037openalex-snapshot
Test Automation - Automation of What?
inferred← citeshttps://doi.org/10.1109/issrew.2015.7392039openalex-snapshot
An analysis and extension of Category partition testing for constrained systems
inferred← citeshttps://doi.org/10.1109/issrew.2015.7392048openalex-snapshot
Getting more in less: The power of single/error annotations in category partition
inferred← citeshttps://doi.org/10.1109/qsic.2013.14openalex-snapshot
Incremental Identification of Categories and Choices for Test Case Generation: A Study of the Software Practitioners' Preferences
inferred← citeshttps://doi.org/10.1109/quatic.2012.12openalex-snapshot
A Method for Applying Reuse in Tests Specifications
inferred← citeshttps://doi.org/10.1109/raise.2015.11openalex-snapshot
Black-Box Test Generation from Inferred Models
inferred← citeshttps://doi.org/10.1109/sera65747.2025.11154529openalex-snapshot
Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
inferred← citeshttps://doi.org/10.1109/tr.2019.2892517openalex-snapshot
Machine Learning Applied to Software Testing: A Systematic Mapping Study
inferred← citeshttps://doi.org/10.1145/2915970.2915999openalex-snapshot
The power of single and error annotations in category partition testing
inferred← citeshttps://doi.org/10.1145/3392031openalex-snapshot
Multi-objective Integer Programming Approaches for Solving the Multi-criteria Test-suite Minimization Problem
inferred← citeshttps://doi.org/10.1145/3395363.3397352openalex-snapshot
Higher income, larger loan? monotonicity testing of machine learning models
inferred← citeshttps://doi.org/10.1145/3607184openalex-snapshot
Testing Causality in Scientific Modelling Software
inferred← citeshttps://doi.org/10.1145/3660819openalex-snapshot
Bounding Random Test Set Size with Computational Learning Theory
inferred← citeshttps://doi.org/10.1145/3679006.3685068openalex-snapshot
Using Category Partition to Detect Metamorphic Relations
inferred← citeshttps://doi.org/10.22215/etd/2010-08842openalex-snapshot
Method and tool support for refinement of test suites
inferred← citeshttps://doi.org/10.22215/etd/2012-07238openalex-snapshot
Comparison of coverage criteria for the category partition method using automatically generated test suites with melba
inferred← citeshttps://doi.org/10.22215/etd/2017-11952openalex-snapshot
An Analysis and Extension of Category Partition Testing in the Presence of Constraints
inferred← citeshttps://doi.org/10.22215/etd/2018-13273openalex-snapshot
Comparison of Approaches to Category Partition Specifications, Selection Criteria, and the Impact of the ‘Error’ and ‘Single’ Annotations using Industrial Case Studies
inferred← citeshttps://doi.org/10.29007/5p9lopenalex-snapshot
Application of Machine Learning on Software Quality Assurance and Testing: A Chronological Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2002.12278openalex-snapshot
Testing Monotonicity of Machine Learning Models
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