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Self|Paced Ensemble of Ensembles for Software Defect Prediction ...

Self|Paced Ensemble of Ensembles for Software Defect Prediction ...

Self-Paced Ensemble of Ensembles for Software Defect Prediction ...

A novel imbalance learning framework named self-paced ensemble of ensembles (SPE ^{2} ) is proposed to perform software defect prediction.

Self-Paced Ensemble of Ensembles for Software Defect Prediction

Index Terms—Ensemble of ensembles, imbalance learning, instance hardness, software defect prediction, undersampling. I. INTRODUCTION. SOFTWARE is a critical ...

Self-Paced Ensemble of Ensembles for Software Defect Prediction

Request PDF | SPE$^{2}$: Self-Paced Ensemble of Ensembles for Software Defect Prediction | Software defect prediction aims to predict ...

Ensemble learning based software defect prediction - ScienceDirect

As software defects are the sources of potential system failures and crashes, defect detection and prevention are important parts of software engineering [1,2].

Building an Ensemble for Software Defect Prediction Based on ...

Conclusion: The results show performance improvement using stacking ensembles compared to other defect prediction models. Diversity amongst classifiers used for ...

Software Defect Prediction Using Ensemble Learning: A Systematic ...

This research provides a systematic literature review on the use of the ensemble learning approach for software defect prediction.

Ensemble Machine Learning Paradigms in Software Defect Prediction

In this review paper, all ensemble-based machine learning techniques developed for software defect prediction from 2018 to 2021 have been critically analyzed.

Multi-objective Ensemble Generation for Software Defect Prediction

Conclusions: MEG is not only able to generate ensembles that yield more accurate defect predictions with respect to the benchmarks considered, but it also does ...

Building an Ensemble for Software Defect Prediction Based ... - CORE

Conclusion: The results show performance improvement using stacking ensembles compared to other defect prediction models. Di- versity amongst classifiers used ...

[PDF] Software Defect Prediction Using Ensemble Learning: An ANP ...

... ensembles is often more accurate than using single classifiers. However ... Software Defect Prediction Using Ensemble Learning: An ANP Based Evaluation Method.

Multi-objective Ensemble Generation for Software Defect Prediction

Such a large search space makes Search-Based Software. Engineering a suitable solution for the problem of automatically generating effective ensembles for DP.

A Systematic Review of Ensemble Techniques for Software Defect ...

The study aims to assess and evaluate possible research gaps with respect to the use of ensemble techniques in software defect prediction.

ENSEMBLE OF SOFTWARE DEFECT PREDICTORS: AN AHP ...

areas in machine learning, and many methods for constructing ensembles ... Paul, Empirical assessment of machine learning based software defect prediction ...

Leveraging Ensemble Learning with Generative Adversarial ... - MDPI

In this paper, we proposed to combine GAN-based methods with boosting ensembles to yield robust defect prediction models.

Enhancing software defect prediction: a framework with improved ...

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning

Software Defect Prediction Using Supervised Machine Learning and ...

Alsaeedi, A. and Khan, M. (2019) Software Defect Prediction Using Supervised Machine Learning and Ensemble Techniques: A Comparative Study. Journal of Software ...

A Hierarchical Feature Ensemble Deep Learning Approach for ...

In view of this, this paper proposes a Hierarchical Feature Ensemble Deep Learning (HFEDL) Approach for software defect prediction. Firstly, the HFEDL approach ...

Software Defect Prediction Using Stacking Generalization of ... - MDPI

Ensemble learning has exhibited excellent prediction outcomes in comparison with individual classifiers. However, most of the previous work utilized ensemble ...

(PDF) Software Defect Prediction Using Ensemble Learning

Some studies have depicted that the use of ensembles is often more accurate than using single classifiers. However, variations exist from studies, which posited ...

Early Prediction of Software Defect using Ensemble Learning

There is no conclusive evidence for specific types of machine learning that will be more efficient and accurate to predict of software defects. However, some of ...