Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Michael_Weiss_0004>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Paolo_Tonella>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1145%2F3533767.3534375>
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dc:identifier	DBLP conf/issta/0004T22 (xsd:string)
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dcterms:issued	2022 (xsd:gYear)
rdfs:label	Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). (xsd:string)
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Michael_Weiss_0004>
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swrc:pages	139-150 (xsd:string)
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rdfs:seeAlso	<http://dblp.uni-trier.de/db/conf/issta/issta2022.html#0004T22>
rdfs:seeAlso	<https://doi.org/10.1145/3533767.3534375>
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dc:title	Simple techniques work surprisingly well for neural network test prioritization and active learning (replicability study). (xsd:string)
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