Cross-version defect prediction: use historical data, cross-project data, or both?

[1] Boucher A(2018)Software metrics thresholds calculation techniques to predict fault-proneness: an empirical comparison Inf Softw Technol 96 38-67

[2] Badri M(2001)Random forests Mach Learn 45 5-32

[3] Breiman L(2002)Assessing the applicability of fault-proneness models across object-oriented software projects IEEE Trans Softw Eng 28 706-720

[4] Briand LC(1988)Multivariate functional interpolation and adaptive networks Complex Syst 2 321-355

[5] Melo WL(2015)Negative samples reduction in cross-company software defects prediction Inf Softw Technol 62 67-77

[6] Wüst J(2016)Exploiting correlation subspace to predict heterogeneous cross-project defects Int J Softw Eng Knowl Eng 26 1571-1580

[7] Broomhead DS(1995)Support-vector networks Mach Learn 20 273-297

[8] Lowe D(1958)Two further applications of a model for binary regression Biometrika 45 562-565

[9] Chen L(2006)Statistical comparisons of classifiers over multiple data sets J Mach Learn Res 7 1-30

[10] Fang B(1997)On the optimality of the simple bayesian classifier under zero-one loss Mach Learn 29 103-130

[1] Boucher A(2018)Software metrics thresholds calculation techniques to predict fault-proneness: an empirical comparison Inf Softw Technol 96 38-67

[2] Badri M(2001)Random forests Mach Learn 45 5-32

[3] Breiman L(2002)Assessing the applicability of fault-proneness models across object-oriented software projects IEEE Trans Softw Eng 28 706-720

[4] Briand LC(1988)Multivariate functional interpolation and adaptive networks Complex Syst 2 321-355

[5] Melo WL(2015)Negative samples reduction in cross-company software defects prediction Inf Softw Technol 62 67-77

[6] Wüst J(2016)Exploiting correlation subspace to predict heterogeneous cross-project defects Int J Softw Eng Knowl Eng 26 1571-1580

[7] Broomhead DS(1995)Support-vector networks Mach Learn 20 273-297

[8] Lowe D(1958)Two further applications of a model for binary regression Biometrika 45 562-565

[9] Chen L(2006)Statistical comparisons of classifiers over multiple data sets J Mach Learn Res 7 1-30

[10] Fang B(1997)On the optimality of the simple bayesian classifier under zero-one loss Mach Learn 29 103-130