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MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction

IEEE transactions on software engineering, 2018-06, Vol.44 (6), p.534-550

2018

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On the relative value of data resampling approaches for software defect prediction

Empirical software engineering : an international journal, 2019-04, Vol.24 (2), p.602-636

2019

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Exploiting the Essential Assumptions of Analogy-Based Effort Estimation

IEEE transactions on software engineering, 2012-03, Vol.38 (2), p.425-438

2012

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Cross project defect prediction using class distribution estimation and oversampling

Information and software technology, 2018-08, Vol.100, p.87-102

2018

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Active learning and effort estimation: Finding the essential content of software effort estimation data

IEEE transactions on software engineering, 2013-08, Vol.39 (8), p.1040-1053

2013

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SPIIMM: Toward a Model for Software Process Improvement Implementation and Management in Global Software Development

IEEE access, 2017-01, Vol.5, p.13720-13741

2017

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A stability assessment of solution adaptation techniques for analogy-based software effort estimation

Empirical software engineering : an international journal, 2017-02, Vol.22 (1), p.474-504

2017

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Finding conclusion stability for selecting the best effort predictor in software effort estimation

Automated software engineering, 2013-12, Vol.20 (4), p.543-567

2013

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Kernel methods for software effort estimation: Effects of different kernel functions and bandwidths on estimation accuracy

Empirical software engineering : an international journal, 2013-02, Vol.18 (1), p.1-24

2013

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ISSRE 2021 special section

Information and software technology, 2023-07, Vol.159, p.107227, Article 107227

2023

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On the value of a prioritization scheme for resolving Self-admitted technical debt

The Journal of systems and software, 2018-01, Vol.135, p.37-54

2018

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Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study

IEEE transactions on reliability, 2018-09, Vol.67 (3), p.1176-1198

2018

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Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study

The Journal of systems and software, 2017-10, Vol.132, p.226-252

2017

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Toward AI-assisted Exercise Creation for First Course in Programming through Adversarial Examples of AI Models

2023 IEEE 35th International Conference on Software Engineering Education and Training (CSEE&T), 2023, p.132-136

2023

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The impact of feature selection techniques on effort‐aware defect prediction: An empirical study

IET software, 2023-04, Vol.17 (2), p.168-193

2023

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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’

IET software, 2023-08, Vol.17 (4), p.472-495

2023

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Systematic review of success factors and barriers for software process improvement in global software development

IET software, 2016-10, Vol.10 (5), p.125-135

2016

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LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation

IEICE Transactions on Information and Systems, 2016/01/01, Vol.E99.D(1), pp.151-162

2016

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Empirical prediction models for adaptive resource provisioning in the cloud

Future generation computer systems, 2012, Vol.28 (1), p.155-162

2012

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Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

Information and software technology, 2021-11, Vol.139, p.106662, Article 106662

2021

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Software design patterns classification and selection using text categorization approach

Applied soft computing, 2017-09, Vol.58, p.225-244

2017

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Improving bug localization with word embedding and enhanced convolutional neural networks

Information and software technology, 2019-01, Vol.105, p.17-29

2019

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COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction

Information and software technology, 2021-01, Vol.129, p.106432, Article 106432

2021

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Robust Statistical Methods for Empirical Software Engineering

Empirical software engineering : an international journal, 2017-04, Vol.22 (2), p.579-630

2017

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Systematic literature review and empirical investigation of barriers to process improvement in global software development: Client–vendor perspective

Information and software technology, 2017-07, Vol.87, p.180-205

2017

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MAHAKIL: Diversity Based Oversampling Approach to Alleviate the Class Imbalance Issue in Software Defect Prediction

On the relative value of data resampling approaches for software defect prediction

Exploiting the Essential Assumptions of Analogy-Based Effort Estimation

Cross project defect prediction using class distribution estimation and oversampling

Active learning and effort estimation: Finding the essential content of software effort estimation data

SPIIMM: Toward a Model for Software Process Improvement Implementation and Management in Global Software Development

A stability assessment of solution adaptation techniques for analogy-based software effort estimation

Finding conclusion stability for selecting the best effort predictor in software effort estimation

Kernel methods for software effort estimation: Effects of different kernel functions and bandwidths on estimation accuracy

ISSRE 2021 special section

On the value of a prioritization scheme for resolving Self-admitted technical debt

Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study

Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study

Toward AI-assisted Exercise Creation for First Course in Programming through Adversarial Examples of AI Models

The impact of feature selection techniques on effort‐aware defect prediction: An empirical study

Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’

Systematic review of success factors and barriers for software process improvement in global software development

LSA-X: Exploiting Productivity Factors in Linear Size Adaptation for Analogy-Based Software Effort Estimation

Empirical prediction models for adaptive resource provisioning in the cloud

Investigation on the stability of SMOTE-based oversampling techniques in software defect prediction

Software design patterns classification and selection using text categorization approach

Improving bug localization with word embedding and enhanced convolutional neural networks

COSTE: Complexity-based OverSampling TEchnique to alleviate the class imbalance problem in software defect prediction

Robust Statistical Methods for Empirical Software Engineering

Systematic literature review and empirical investigation of barriers to process improvement in global software development: Client–vendor perspective

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