Automated program repair (APR) aims to fix software bugs without human
i...
Unit testing is critical to the software development process, ensuring t...
Although Deep Reinforcement Learning (DRL) has achieved notable success ...
Various approaches are proposed to help under-resourced security researc...
Reusing off-the-shelf code snippets from online repositories is a common...
Automated program repair (APR) aims to fix software bugs automatically
w...
Automated program repair (APR) aims to fix software bugs automatically a...
The robustness of neural network classifiers is becoming important in th...
With the rapid development of the Internet, more and more applications (...
Unit testing is a critical part of software development process, ensurin...
Test case prioritization (TCP) aims to reorder the regression test suite...
(Source) Code summarization aims to automatically generate summaries/com...
Automatic Program Repair (APR) aims at fixing buggy source code with les...
Coverage guided fuzzing (CGF) is an effective testing technique which ha...
Various automated program repair (APR) techniques have been proposed to ...
Code search is a widely used technique by developers during software
dev...
Static bug localization techniques that locate bugs at method granularit...
Crowdsourced testing, as a distinct testing paradigm, has attracted much...
Testing is the most direct and effective technique to ensure software
qu...
Crowdsourced testing is increasingly dominant in mobile application (app...
Testing deep learning (DL) systems are increasingly crucial as the incre...
The fragmentation problem has extended from Android to different platfor...
Deep neural network (DNN) based systems have been deployed to assist var...
Software testing is an expensive and important task. Plenty of researche...