41 citations · 76 across the 8 of their papers we have counts for
12 papers
Program Repair: Automated vs. Manual
Quanjun Zhang, Yuan Zhao, Weisong Sun +3
Various automated program repair (APR) techniques have been proposed to fix bugs automatically in the last decade. Although recent researches have made significant progress on the…
Free Lunch for Testing: Fuzzing Deep-Learning Libraries from Open Source
Anjiang Wei, Yinlin Deng, Chenyuan Yang +1
Deep learning (DL) systems can make our life much easier, and thus are gaining more and more attention from both academia and industry. Meanwhile, bugs in DL systems can be disastr…
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation
Jiawei Liu, Yuxiang Wei, Sen Yang +2
In the past decade, Deep Learning (DL) systems have been widely deployed in various domains to facilitate our daily life. Meanwhile, it is extremely challenging to ensure the corre…
Self-Boosted Automated Program Repair
Samuel Benton, Mengshi Zhang, Xia Li +1
Program repair is an integral part of every software system's life-cycle but can be extremely challenging. To date, researchers have proposed various automated program repair (APR)…
Fast and Precise On-the-fly Patch Validation for All
Lingchao Chen, Lingming Zhang
Generate-and-validate (G&V) automated program repair (APR) techniques have been extensively studied during the past decade. Meanwhile, such techniques can be extremely time-consumi…
Can Automated Program Repair Refine Fault Localization?
Yiling Lou, Ali Ghanbari, Xia Li +3
Software bugs are prevalent in modern software systems and notoriously hard to debug manually. Therefore, a large body of research efforts have been dedicated to automated software…