Local vs. global models for effort estimation and defect prediction

  • Authors:
  • Tim Menzies;Andrew Butcher;Andrian Marcus;Thomas Zimmermann;David Cok

  • Affiliations:
  • CS & EE, WVU, Morgantown, USA;CS & EE, WVU, Morgantown, USA;Computer Science, Wayne State University, USA;Microsoft Research, Redmond, USA;GrammaTech Inc., Ithaca, New York, USA

  • Venue:
  • ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
  • Year:
  • 2011

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Abstract

Data miners can infer rules showing how to improve either (a) the effort estimates of a project or (b) the defect predictions of a software module. Such studies often exhibit conclusion instability regarding what is the most effective action for different projects or modules.