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    <identifier>10.57760/sciencedb.09699</identifier>
    <datestamp>2023-07-24T16:11:29Z</datestamp>
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  <dc:date>2023-07-24</dc:date>
  <dc:title>Fusing Text and Images to Better Prioritize Crowdsourced  Test Report for Web Application</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.09699</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In August 2022, we partnered with a foreign trade company to collect crowdsourced test reports for real industry. We crowdsourced tested its foreign trade management platform. The platform contains 5 modules (Product, Team, Approval, Logistics and Sales), and the interaction between different modules is complex. There were 717 qualified test reports.</dc:description>
  <dc:subject>crowdsourced testing; web testing; test report prioritization; optical character recognition</dc:subject>
  <dc:creator>Yunhuan</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://mit-license.org</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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