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Machine learning augmented diagnostic testing to identify sources of variability in test performance.
Christopher J. Banks
Aeron R. Sanchez
Vicki Stewart
Kate Bowen
Graham Smith
Rowland R. Kao
Published in:
CoRR (2024)
Keyphrases
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machine learning
test cases
software testing
test sequences
test generation
test data
test suite
regression testing
statistical tests
test case generation
decision making
databases
testing process
machine learning algorithms
information sources
expert systems
data mining
computer science
pattern recognition
learning algorithm
machine learning and data mining
usability testing
medical diagnosis
feature selection
test data generation
statistical methods
diagnostic tests
decision trees
data sets
text classification
information extraction
neural network
clinical diagnosis
code coverage
model based testing
number of test cases
information retrieval
set of test cases
artificial intelligence
computer vision
statistical significance
inductive learning
knowledge sources
learning tasks
machine learning methods
case study
semi supervised learning
model selection
text mining
data sources