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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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FunFuzz: Greybox Fuzzing with Function Significance

ACM transactions on software engineering and methodology, 2024-11

2024

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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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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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Benchmarking Object Detection Robustness against Real-World Corruptions

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

2024

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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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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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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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Locality-based security bug report identification via active learning

Information and software technology, 2022-07, Vol.147, p.106899, Article 106899

2022

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Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation

IEEE transactions on software engineering, 2024-04, Vol.50 (4), p.854-883

2024

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Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing

2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE), 2021, p.1561-1571

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.3032-3051

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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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

FunFuzz: Greybox Fuzzing with Function Significance

Deep learning framework testing via hierarchical and heuristic model generation

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

Benchmarking Object Detection Robustness against Real-World Corruptions

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

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

An unsupervised feature selection approach for actionable warning identification

Practical, Automated Scenario-Based Mobile App Testing

Duo: Differential Fuzzing for Deep Learning Operators

Locality-based security bug report identification via active learning

Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation

Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing

Test Report Generation for Android App Testing Via Heterogeneous Data Analysis

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

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