Nsf

LACE2: Better Privacy-Preserving Data Sharing for Cross Project Defect Prediction

© 2015 IEEE. Before a community can learn general principles, it must share individual experiences. Data sharing is the fundamental step of cross project defect prediction, i.e. …

fayola-peters

Ask the Engineers: Exploring Repertory Grids and Personal Constructs for Software Data Analysis

© 2015 IEEE. Maturity in software projects is often equated with data-driven predictability. However, data collection is expensive and measuring all variables that may correlate …

lucas-layman

Local versus Global Lessons for Defect Prediction and Effort Estimation

Existing research is unclear on how to generate lessons learned for defect prediction and effort estimation. Should we seek lessons that are global to multiple projects or just …

tim-menzies