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A Systematic Literature Review of Android Malware Detection Using Static Analysis

IEEE access, 2020, Vol.8, p.116363-116379

2020

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Improving actionable warning identification via the refined warning-inducing context representation

Science China. Information sciences, 2024-05, Vol.67 (5), p.159101, Article 159101

2024

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Similarity-based test case prioritization using ordered sequences of program entities

Software quality journal, 2014-06, Vol.22 (2), p.335-361

2014

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Measuring the Diversity of a Test Set With Distance Entropy

IEEE transactions on reliability, 2016-03, Vol.65 (1), p.19-27

2016

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FDFuzz: Applying Feature Detection to Fuzz Deep Learning Systems

International journal of performability engineering, 2019, Vol.15 (10), p.2675

2019

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Comparing logic coverage criteria on test case prioritization

Science China. Information sciences, 2012-12, Vol.55 (12), p.2826-2840

2012

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A Survey of Learning-based Automated Program Repair

ACM transactions on software engineering and methodology, 2023-12, Vol.33 (2), p.1-69, Article 55

2023

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TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation

IEEE transactions on software engineering, 2024-06, Vol.50 (6), p.1600-1619

2024

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An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification

IEEE transactions on reliability, 2023-12, Vol.72 (4), p.1648-1662

2023

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Leveraging Android Automated Testing to Assist Crowdsourced Testing

IEEE transactions on software engineering, 2023-04, Vol.49 (4), p.2318-2336

2023

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Deep learning framework testing via hierarchical and heuristic model generation

The Journal of systems and software, 2023-07, Vol.201, p.111681, Article 111681

2023

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APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models

IEEE transactions on software engineering, 2024-03, Vol.50 (3), p.474-494

2024

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Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding

IEEE transactions on software engineering, 2023-08, Vol.49 (8), p.4115-4134

2023

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An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm

Computer (Long Beach, Calif.), 2021-08, Vol.54 (8), p.56-65

2021

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Security‐based code smell definition, detection, and impact quantification in Android

Software, practice & experience, 2023-11, Vol.53 (11), p.2296-2321

2023

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An unsupervised feature selection approach for actionable warning identification

Expert systems with applications, 2023-10, Vol.227, p.120152, Article 120152

2023

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Benchmarking Object Detection Robustness against Real-World Corruptions

International journal of computer vision, 2024-05, Vol.132 (10), p.4398-4416

2024

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Practical, Automated Scenario-Based Mobile App Testing

IEEE transactions on software engineering, 2024-07, Vol.50 (7), p.1949-1966

2024

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Duo: Differential Fuzzing for Deep Learning Operators

IEEE transactions on reliability, 2021-12, Vol.70 (4), p.1671-1685

2021

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Test Report Generation for Android App Testing via Heterogeneous Data Analysis

IEEE transactions on software engineering, 2023-05, Vol.49 (5), p.1-20

2023

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Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?

IEEE transactions on dependable and secure computing, 2024-07, Vol.21 (4), p.2507-2525

2024

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Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization

IEEE transactions on software engineering, 2024-08, Vol.50 (8), p.2077-2095

2024

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Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning

ACM transactions on software engineering and methodology, 2024-09, Vol.33 (7), p.1-27, Article 175

2024

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Classifying crowdsourced mobile test reports with image features: An empirical study

The Journal of systems and software, 2022-02, Vol.184, p.111121, Article 111121

2022

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Test case prioritization using partial attention

The Journal of systems and software, 2022-10, Vol.192, p.111419, Article 111419

2022

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A Systematic Literature Review of Android Malware Detection Using Static Analysis

Improving actionable warning identification via the refined warning-inducing context representation

Similarity-based test case prioritization using ordered sequences of program entities

Measuring the Diversity of a Test Set With Distance Entropy

FDFuzz: Applying Feature Detection to Fuzz Deep Learning Systems

Comparing logic coverage criteria on test case prioritization

A Survey of Learning-based Automated Program Repair

TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation

An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification

Leveraging Android Automated Testing to Assist Crowdsourced Testing

Deep learning framework testing via hierarchical and heuristic model generation

APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models

Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding

An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm

Security‐based code smell definition, detection, and impact quantification in Android

An unsupervised feature selection approach for actionable warning identification

Benchmarking Object Detection Robustness against Real-World Corruptions

Practical, Automated Scenario-Based Mobile App Testing

Duo: Differential Fuzzing for Deep Learning Operators

Test Report Generation for Android App Testing via Heterogeneous Data Analysis

Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?

Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization

Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning

Classifying crowdsourced mobile test reports with image features: An empirical study

Test case prioritization using partial attention

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