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Searching for "Comments on "Data Mining Static Code Attributes to Learn Defect Predictors"." – sorted by Relevance.

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  • of the Data Mining and Machine Learning  
  • by Miguel Rocha, Paulo Cortez, José Neves
  • Learning methods are usually developed to work in static data sets. Yet, real world data typically changes…
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  • Data Mining of Printed-Circuit Board Defects  
  • by Andrew Kusiak, Christian Kurasek — 2001 — IEEE Transactions on Robotics and Automation
  • …_______________________________________________________________________________ Data Mining of Printed-Circuit Board Defects Andrew Kusiak and Christian Kurasek Abstract—This paper…
  • Cited by 4 (0 self)Add To MetaCart
  • Machine Learning and Data Mining  
  • by Jiri Palous
  • … in Prague Series of Research Reports Report No: GL 157/02 Machine Learning and Data Mining Jiˇrí Palou…
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  • EQ-Mine: Predicting short-term defects for software evolution  
  • by Jacek Ratzinger, Martin Pinzger, Harald Gall — 2007 — In Proceedings of the Fundamental Approaches to Software Engineering at the European Joint Conferences on Theory And Practice of Software
  • … issues. For defect prediction we expect that data mining features from many different categories…
  • Cited by 3 (2 self)Add To MetaCart
  • Lightweight defect localization for java  
  • by Valentin Dallmeier, Christian Lindig, Andreas Zeller — 2005 — In Proceedings of the 19th European Conference on Object-Oriented Programming
  • code (0.3% of all classes or 0.8% of the entire code) in order to find the defect. (In comparison…
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  • Types and Classes of Machine Learning and Data Mining  
  • by Lloyd Allison — 2003 — 26th Australasian Computer Science Conference (ACSC), Adelaide, ACS Series Conferences in Research and Practice in Information Technology V16
  • …Types and Classes of Machine Learning and Data Mining Lloyd Allison School of Computer Science…
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