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The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

IEEE transactions on software engineering, 2020-11, Vol.46 (11), p.1200-1219

2020

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IEEE_Xplore

The Impact of Automated Parameter Optimization on Defect Prediction Models

IEEE transactions on software engineering, 2019-07, Vol.45 (7), p.683-711

2019

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IEEE_Xplore

Perceptions, Expectations, and Challenges in Defect Prediction

IEEE transactions on software engineering, 2020-11, Vol.46 (11), p.1241-1266

2020

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IEEE_Xplore

The Impact of Correlated Metrics on the Interpretation of Defect Models

IEEE transactions on software engineering, 2021-02, Vol.47 (2), p.320-331

2021

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IEEE_Xplore

Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews

Empirical software engineering : an international journal, 2016-06, Vol.21 (3), p.1067-1106

2016

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A Framework for Evaluating the Results of the SZZ Approach for Identifying Bug-Introducing Changes

IEEE transactions on software engineering, 2017-07, Vol.43 (7), p.641-657

2017

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IEEE_Xplore

The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers

IEEE transactions on software engineering, 2022-07, Vol.48 (7), p.2245-2261

2022

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IEEE_Xplore

Towards just-in-time suggestions for log changes

Empirical software engineering : an international journal, 2017-08, Vol.22 (4), p.1831-1865

2017

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Studying just-in-time defect prediction using cross-project models

Empirical software engineering : an international journal, 2016-10, Vol.21 (5), p.2072-2106

2016

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Continuous validation of performance test workloads

Automated software engineering, 2017-03, Vol.24 (1), p.189-231

2017

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How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow

IEEE transactions on software engineering, 2020-09, Vol.46 (9), p.1024-1038

2020

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IEEE_Xplore

Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering

IEEE transactions on software engineering, 2021-07, Vol.47 (7), p.1414-1430

2021

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IEEE_Xplore

The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models

IEEE transactions on software engineering, 2017-05, Vol.43 (5), p.476-491

2017

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IEEE_Xplore

Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction”

IEEE transactions on software engineering, 2016-11, Vol.42 (11), p.1092-1094

2016

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IEEE_Xplore

The impact of feature reduction techniques on defect prediction models

Empirical software engineering : an international journal, 2019-08, Vol.24 (4), p.1925-1963

2019

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Studying the Association Between Bountysource Bounties and the Issue-Addressing Likelihood of GitHub Issue Reports

IEEE transactions on software engineering, 2021-12, Vol.47 (12), p.2919-2933

2021

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IEEE_Xplore

The Impact of Classifier Configuration and Classifier Combination on Bug Localization

IEEE transactions on software engineering, 2013-10, Vol.39 (10), p.1427-1443

2013

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IEEE_Xplore

Neural-Machine-Translation-Based Commit Message Generation: How Far Are We?

2018 33rd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018, p.373-384

2018

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IEEE_Xplore

Construction of Porous Organic/Inorganic Hybrid Polymers Based on Polyhedral Oligomeric Silsesquioxane for Energy Storage and Hydrogen Production from Water

Polymers, 2022-12, Vol.15 (1), p.182

2022

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An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

IEEE transactions on software engineering, 2017-01, Vol.43 (1), p.1-18

2017

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IEEE_Xplore

Characterizing and identifying reverted commits

Empirical software engineering : an international journal, 2019-08, Vol.24 (4), p.2171-2208

2019

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Identification of Novel Aryl Carboxamide Derivatives as Death-Associated Protein Kinase 1 (DAPK1) Inhibitors with Anti-Proliferative Activities: Design, Synthesis, In Vitro, and In Silico Biological Studies

Pharmaceuticals (Basel, Switzerland), 2022-08, Vol.15 (9), p.1050

2022

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Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform

Empirical software engineering : an international journal, 2020-11, Vol.25 (6), p.4617-4675

2020

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Measuring Program Comprehension: A Large-Scale Field Study with Professionals

IEEE transactions on software engineering, 2018-10, Vol.44 (10), p.951-976

2018

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IEEE_Xplore

Is lines of code a good measure of effort in effort-aware models?

Information and software technology, 2013-11, Vol.55 (11), p.1981-1993

2013

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The Impact of Class Rebalancing Techniques on the Performance and Interpretation of Defect Prediction Models

The Impact of Automated Parameter Optimization on Defect Prediction Models

Perceptions, Expectations, and Challenges in Defect Prediction

The Impact of Correlated Metrics on the Interpretation of Defect Models

Analyzing and automatically labelling the types of user issues that are raised in mobile app reviews

A Framework for Evaluating the Results of the SZZ Approach for Identifying Bug-Introducing Changes

The Impact of Feature Importance Methods on the Interpretation of Defect Classifiers

Towards just-in-time suggestions for log changes

Studying just-in-time defect prediction using cross-project models

Continuous validation of performance test workloads

How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow

Impact of Discretization Noise of the Dependent Variable on Machine Learning Classifiers in Software Engineering

The Use of Summation to Aggregate Software Metrics Hinders the Performance of Defect Prediction Models

Comments on “Researcher Bias: The Use of Machine Learning in Software Defect Prediction”

The impact of feature reduction techniques on defect prediction models

Studying the Association Between Bountysource Bounties and the Issue-Addressing Likelihood of GitHub Issue Reports

The Impact of Classifier Configuration and Classifier Combination on Bug Localization

Neural-Machine-Translation-Based Commit Message Generation: How Far Are We?

Construction of Porous Organic/Inorganic Hybrid Polymers Based on Polyhedral Oligomeric Silsesquioxane for Energy Storage and Hydrogen Production from Water

An Empirical Comparison of Model Validation Techniques for Defect Prediction Models

Characterizing and identifying reverted commits

Identification of Novel Aryl Carboxamide Derivatives as Death-Associated Protein Kinase 1 (DAPK1) Inhibitors with Anti-Proliferative Activities: Design, Synthesis, In Vitro, and In Silico Biological Studies

Code cloning in smart contracts: a case study on verified contracts from the Ethereum blockchain platform

Measuring Program Comprehension: A Large-Scale Field Study with Professionals

Is lines of code a good measure of effort in effort-aware models?

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