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Learning from Very Little Data: On the Value of Landscape Analysis for
  Predicting Software Project Health

Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health

16 January 2023
Andre Lustosa
Tim Menzies
ArXivPDFHTML

Papers citing "Learning from Very Little Data: On the Value of Landscape Analysis for Predicting Software Project Health"

3 / 3 papers shown
Title
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt
  Identification using Semi-Supervised Learning
DebtFree: Minimizing Labeling Cost in Self-Admitted Technical Debt Identification using Semi-Supervised Learning
Huy Tu
Tim Menzies
39
11
0
25 Jan 2022
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
163
25,296
0
09 Jun 2011
A Study of NK Landscapes' Basins and Local Optima Networks
A Study of NK Landscapes' Basins and Local Optima Networks
Gabriela Ochoa
Marco Tomassini
S. Vérel
Christian Darabos
78
175
0
20 Oct 2008
1