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Training on errors experiment to detect fault-prone software modules by spam filter.

Osamu MizunoTohru Kikuno
Published in: ESEC/SIGSOFT FSE (2007)
Keyphrases
  • fault prone
  • software modules
  • development effort
  • software components
  • source code
  • software quality
  • training set
  • software metrics
  • neural network
  • real world
  • machine learning
  • computer aided