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    <identifier>10.57760/sciencedb.jcst.00011</identifier>
    <datestamp>2025-09-17T15:13:39Z</datestamp>
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  <dc:date>2025-09-17</dc:date>
  <dc:title>IID Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.jcst.00011</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>To facilitate an in-depth understanding of IID is sues, in this paper, we establish a descriptive frame work for presenting the image displaying procedures of IID issues intuitively. In this descriptive frame work, an IID issue can be represented as a code slice annotated with its triggering conditions, conse quences, image processing functional modules, and er ror code description. Based on the descriptive frame work, we conduct an empirical study towards charac terizing IID issues in mobile apps. We carefully local ize 216 IID issues (in 41 apps) from 2 674 issue re ports and pull requests in 243 well-maintained open source Android apps in F-Droid, and extract these IID issues' annotated code slices.</dc:description>
  <dc:subject>Android application; inefficient image displaying; performance; empirical study; static analysis</dc:subject>
  <dc:creator>Wen-Jie Li</dc:creator>
  <dc:creator>Jun Ma</dc:creator>
  <dc:creator>Yan-Yan Jiang</dc:creator>
  <dc:creator>Chang Xu</dc:creator>
  <dc:creator>Xiao-Xing Ma</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://opendatacommons.org/licenses/by/1-0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1007/s11390-022-1670-3</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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