During Automated Program Repair (APR), it can be challenging to synthesi...
Fuzzing has achieved tremendous success in discovering bugs and
vulnerab...
Program synthesis has been long studied with recent approaches focused o...
Deep Learning (DL) library bugs affect downstream DL applications,
empha...
Automated Program Repair (APR) aims to automatically generate patches fo...
Automated Program Repair (APR) aspires to automatically generate patches...
Deep learning (DL) has attracted wide attention and has been widely depl...
Deep Learning (DL) is prevalently used in various industries to improve
...
Automated Program Repair (APR) can help developers automatically generat...
Detecting bugs in Deep Learning (DL) libraries is critical for almost al...
Automated Program Repair (APR) aims to help developers automatically pat...
Deep-learning (DL) compilers such as TVM and TensorRT are increasingly u...
Due to the promising future of Automated Program Repair (APR), researche...
Automated Program Repair (APR) techniques have drawn wide attention from...
A growing body of research has been dedicated to DL model testing. Howev...
Various automated program repair (APR) techniques have been proposed to ...
Deep learning (DL) systems can make our life much easier, and thus are
g...
APR techniques can be extremely time consuming since (1) a large number ...
Program repair is an integral part of every software system's life-cycle...
Generate-and-validate (G V) automated program repair (APR) techniques ...
Software bugs are prevalent in modern software systems and notoriously h...
Smart contract is a special program that manages digital assets on
block...
While CUDA has become a major parallel computing platform and programmin...
While CUDA has become a major parallel computing platform and programmin...
Deep Neural Networks (DNNs) have been widely applied in many autonomous
...
Software debugging is tedious, time-consuming, and even error-prone by
i...
Test Case Prioritization (TCP) is an increasingly important regression
t...
While Deep Neural Networks (DNNs) have established the fundamentals of
D...