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09/17/2023
GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction
Automated program repair (APR) aims to fix software bugs without human i...
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09/14/2023
Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation
Unit testing is critical to the software development process, ensuring t...
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09/13/2023
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics
Although Deep Reinforcement Learning (DRL) has achieved notable success ...
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08/24/2023
Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
Various approaches are proposed to help under-resourced security researc...
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05/27/2023
Backdooring Neural Code Search
Reusing off-the-shelf code snippets from online repositories is a common...
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01/29/2023
Boosting Automated Patch Correctness Prediction via Pre-trained Language Model
Automated program repair (APR) aims to fix software bugs automatically w...
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01/09/2023
A Survey of Learning-based Automated Program Repair
Automated program repair (APR) aims to fix software bugs automatically a...
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11/13/2022
Certifying Robustness of Convolutional Neural Networks with Tight Linear Approximation
The robustness of neural network classifiers is becoming important in th...
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08/19/2022
Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding
With the rapid development of the Internet, more and more applications (...
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08/08/2022
Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation
Unit testing is a critical part of software development process, ensurin...
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06/22/2022
Test Case Prioritization Using Partial Attention
Test case prioritization (TCP) aims to reorder the regression test suite...
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06/15/2022
An Extractive-and-Abstractive Framework for Source Code Summarization
(Source) Code summarization aims to automatically generate summaries/com...
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05/22/2022
CIRCLE: Continual Repair across Programming Languages
Automatic Program Repair (APR) aims at fixing buggy source code with les...
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03/14/2022
Investigating Coverage Guided Fuzzing with Mutation Testing
Coverage guided fuzzing (CGF) is an effective testing technique which ha...
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03/10/2022
Program Repair: Automated vs. Manual
Various automated program repair (APR) techniques have been proposed to ...
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02/16/2022
Code Search based on Context-aware Code Translation
Code search is a widely used technique by developers during software dev...
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09/08/2021
BLESER: Bug Localization Based on Enhanced Semantic Retrieval
Static bug localization techniques that locate bugs at method granularit...
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08/17/2021
Detecting Crowdsourced Test Report Consistency for Mobile Apps with Deep Image Understanding and Text Analysis
Crowdsourced testing, as a distinct testing paradigm, has attracted much...
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07/12/2021
Automated Mobile App Test Script Intent Generation via Image and Code Understanding
Testing is the most direct and effective technique to ensure software qu...
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02/19/2021
Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding
Crowdsourced testing is increasingly dominant in mobile application (app...
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08/13/2020
Graph-Based Fuzz Testing for Deep Learning Inference Engine
Testing deep learning (DL) systems are increasingly crucial as the incre...
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08/12/2020
Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing
The fragmentation problem has extended from Android to different platfor...
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03/02/2019
DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost
Deep neural network (DNN) based systems have been deployed to assist var...
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08/03/2017
