To Read List for 2021

📎收录2021年软工四大顶会感兴趣的论文

ICSE 2021

  • AUTOTRAINER: An Automatic DNN Training Problem Detection and Repair System
  • An Empirical Study of Refactorings and Technical Debt in Machine Learning Systems
  • Are Machine Learning Cloud APIs Used Correctly?
  • Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We?
  • DeepBackdoor: Black-box Backdoor Attack on Deep Learning Models through Neural Payload InjectionTechnical
  • DeepLocalize: Fault Localization for Deep Neural Networks
  • Does mutation testing improve testing practices?
  • Graph-based Fuzz Testing for Deep Learning Inference Engines
  • Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
  • Operation is the hardest teacher: estimating DNN accuracy looking for mispredictions
  • Reducing DNN Properties to Enable Falsification with Adversarial Attacks
  • Resource-Guided Configuration Space Reduction for Deep Learning Models
  • Self-Checking Deep Neural Networks in Deployment

ISSTA 2021

  • DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults
  • Efficient White-box Fairness Testing through Gradient Search
  • ModelDiff: Testing-based DNN Similarity Comparison for Model Reuse Detection
  • Predoo: Precision Testing of Deep Learning Operators
  • Exposing Previously Undetectable Faults in Deep Neural Networks
  • AdvDoor: Adversarial Backdoor Attack of Deep Learning System

FSE 2021

awaiting…

ASE 2021

awaiting…