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Using a neural network in the software testing process
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Software fault prediction
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Using neural networks to predict software faults during testing
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Automatically generating test data from a Boolean specification
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Constraint-based automatic test data generation
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Software testability: the new verification
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Using neural networks to solve testing problems
inferredcites →https://doi.org/10.1109/72.595888openalex-snapshot
Application of neural networks to software quality modeling of a very large telecommunications system
inferredcites →https://doi.org/10.1109/test.1995.529902openalex-snapshot
On the use of neural networks to guide software testing activities
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1016/j.jss.2008.07.019openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ikt51791.2020.9345615openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/issre.2016.22openalex-snapshot
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inferred← citeshttps://doi.org/10.11606/t.55.2013.tde-26032014-104734openalex-snapshot
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inferred← citeshttps://doi.org/10.11606/t.55.2017.tde-13092017-085208openalex-snapshot
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inferred← citeshttps://doi.org/10.14569/ijacsa.2017.080322openalex-snapshot
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inferred← citeshttps://doi.org/10.1520/jte20160137openalex-snapshot
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inferred← citeshttps://doi.org/10.15587/2312-8372.2013.14970openalex-snapshot
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inferred← citeshttps://doi.org/10.20868/upm.thesis.9017openalex-snapshot
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inferred← citeshttps://doi.org/10.24200/sci.2019.51494.2219openalex-snapshot
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inferred← citeshttps://doi.org/10.26083/tuprints-00017377openalex-snapshot
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inferred← citeshttps://doi.org/10.29007/vnw8openalex-snapshot
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inferred← citeshttps://doi.org/10.2991/citcs.2012.190openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/978-1-61499-434-3-703openalex-snapshot
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inferred← citeshttps://doi.org/10.3233/jifs-181998openalex-snapshot
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inferred← citeshttps://doi.org/10.36647/ijsem/09.08.a008openalex-snapshot
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inferred← citeshttps://doi.org/10.3724/sp.j.1001.2009.00578openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-60960-818-7.ch502openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/978-1-61692-834-6.ch043openalex-snapshot
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inferred← citeshttps://doi.org/10.4018/ijsir.309941openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2001.02444openalex-snapshot
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inferred← citeshttps://doi.org/10.5555/2871274.2871280openalex-snapshot
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