Assessing Ensemble Learning Techniques in Bug Prediction

[1]  Jayadev Gyani,et al.  Class Imbalance Reduction (CIR): A Novel Approach to Software Defect Prediction in the Presence of Class Imbalance , 2020, Symmetry.

[2]  Gavin Brown,et al.  Ensemble Learning , 2010, Encyclopedia of Machine Learning and Data Mining.

[3]  Eibe Frank,et al.  Embedding Java Classes with code2vec: Improvements from Variable Obfuscation , 2020, 2020 IEEE/ACM 17th International Conference on Mining Software Repositories (MSR).

[4]  Robert E. Schapire,et al.  Explaining AdaBoost , 2013, Empirical Inference.

[5]  Xin Yao,et al.  Using Class Imbalance Learning for Software Defect Prediction , 2013, IEEE Transactions on Reliability.

[6]  Yan Gao,et al.  Software Defect Prediction based on Adaboost algorithm under Imbalance Distribution , 2016 .

[7]  Wahiduzzaman Khan,et al.  Measuring the Performance of e-Primary School Systems in Bangladesh , 2020 .

[8]  Nitesh V. Chawla,et al.  SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..

[9]  Robertas Damasevicius,et al.  Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug , 2019, Entropy.

[10]  Rudolf Ferenc,et al.  A Public Bug Database of GitHub Projects and Its Application in Bug Prediction , 2016, ICCSA.

[11]  Bruce Christianson,et al.  The jinx on the NASA software defect data sets , 2016, EASE.

[12]  Yue Jiang,et al.  Techniques for evaluating fault prediction models , 2008, Empirical Software Engineering.

[13]  Rudolf Ferenc,et al.  Deep-water framework: The Swiss army knife of humans working with machine learning models , 2020, SoftwareX.

[14]  Tibor Gyimóthy,et al.  Deep learning in static, metric-based bug prediction , 2020, Array.

[15]  Tibor Gyimóthy,et al.  A public unified bug dataset for java and its assessment regarding metrics and bug prediction , 2020, Software Quality Journal.

[16]  Sandeep Kumar,et al.  Analysis of Ensemble Models for Aging Related Bug Prediction in Software Systems , 2018, ICSOFT.

[17]  Cagatay Catal,et al.  Software fault prediction: A literature review and current trends , 2011, Expert Syst. Appl..

[18]  Yi Peng,et al.  Ensemble of Software Defect Predictors: an AHP-Based Evaluation Method , 2011, Int. J. Inf. Technol. Decis. Mak..