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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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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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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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AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation

IEEE transactions on reliability, 2023-12, Vol.72 (4), p.1-15

2023

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On the Significance of Category Prediction for Code-Comment Synchronization

ACM transactions on software engineering and methodology, 2023-03, Vol.32 (2), p.1-41, Article 30

2023

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A multi-objective effort-aware defect prediction approach based on NSGA-II

Applied soft computing, 2023-12, Vol.149, p.110941, Article 110941

2023

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Improving effort-aware defect prediction by directly learning to rank software modules

Information and software technology, 2024-01, Vol.165, p.107250, Article 107250

2024

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Data preparation for Deep Learning based Code Smell Detection: A systematic literature review

The Journal of systems and software, 2024-10, Vol.216, p.112131, Article 112131

2024

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Finding the best learning to rank algorithms for effort-aware defect prediction

Information and software technology, 2023-05, Vol.157, p.107165, Article 107165

2023

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On the relative value of imbalanced learning for code smell detection

Software, practice & experience, 2023-10, Vol.53 (10), p.1902-1927

2023

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Validating class integration test order generation systems with Metamorphic Testing

Information and software technology, 2021-04, Vol.132, p.106507, Article 106507

2021

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UniAda: Universal Adaptive Multiobjective Adversarial Attack for End-to-End Autonomous Driving Systems

IEEE transactions on reliability, 2024-06, p.1-15

2024

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Evaluating the effects of similar-class combination on class integration test order generation

Information and software technology, 2021-01, Vol.129, p.106438, Article 106438

2021

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TerGEC: A graph enhanced contrastive approach for program termination analysis

Science of computer programming, 2024-10, Vol.237, p.103141, Article 103141

2024

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Large language model ChatGPT versus small deep learning models for self‐admitted technical debt detection: Why not together?

Software, practice & experience, 2024-06

2024

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Improving domain-specific neural code generation with few-shot meta-learning

Information and software technology, 2024-02, Vol.166, p.107365, Article 107365

2024

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Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

IEEE transactions on reliability, 2020-03, Vol.69 (1), p.139-153

2020

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Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation

IEEE transactions on software engineering, 2008-07, Vol.34 (4), p.471-484

2008

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Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Proceedings of the ACM on software engineering, 2024-07, Vol.1 (FSE), p.1585-1608

2024

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Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier

2017 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2017, p.434-441

2017

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An Empirical Analysis of Three-Stage Data-Preprocessing for Analogy-Based Software Effort Estimation on the ISBSG Data

2017 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2017, p.442-449

2017

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New Technique for Stock Trend Analysis - Volume-weighted Squared Moving Average Convergence & Divergence

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, p.987-988

2023

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Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study

Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024, p.85-94

2024

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Practitioners' Expectations on Code Smell Detection

2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024, p.1324-1333

2024

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ISSRE 2021 special section

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

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’

AttSum: A Deep Attention-Based Summarization Model for Bug Report Title Generation

On the Significance of Category Prediction for Code-Comment Synchronization

A multi-objective effort-aware defect prediction approach based on NSGA-II

Improving effort-aware defect prediction by directly learning to rank software modules

Data preparation for Deep Learning based Code Smell Detection: A systematic literature review

Finding the best learning to rank algorithms for effort-aware defect prediction

On the relative value of imbalanced learning for code smell detection

Validating class integration test order generation systems with Metamorphic Testing

UniAda: Universal Adaptive Multiobjective Adversarial Attack for End-to-End Autonomous Driving Systems

Evaluating the effects of similar-class combination on class integration test order generation

TerGEC: A graph enhanced contrastive approach for program termination analysis

Large language model ChatGPT versus small deep learning models for self‐admitted technical debt detection: Why not together?

Improving domain-specific neural code generation with few-shot meta-learning

Improving Ranking-Oriented Defect Prediction Using a Cost-Sensitive Ranking SVM

Analogy-X: Providing Statistical Inference to Analogy-Based Software Cost Estimation

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier

An Empirical Analysis of Three-Stage Data-Preprocessing for Analogy-Based Software Effort Estimation on the ISBSG Data

New Technique for Stock Trend Analysis - Volume-weighted Squared Moving Average Convergence & Divergence

Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study

Practitioners' Expectations on Code Smell Detection

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