All Stories

  1. Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models
  2. CrossFS: Improving Cross-Domain File System Performance with CRDT-Based Metadata Synchronization
  3. OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams
  4. Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts
  5. Are External Contributions Important to Project Productivity in Open Source Software? A Deep Insight based on Issue Entropy
  6. Looking Back to Move Forward: Unveiling the Mysteries of HBM Errors to Predict Future Failures
  7. NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models
  8. Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models
  9. K lotski : Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline
  10. Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs
  11. ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering
  12. Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation
  13. Can Machine Learning Pipelines Be Better Configured?
  14. Mask Again: Masked Knowledge Distillation for Masked Video Modeling
  15. Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning
  16. Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension
  17. Understanding and Detecting On-The-Fly Configuration Bugs
  18. Ginver: Generative Model Inversion Attacks Against Collaborative Inference
  19. Influential Global and Local Contexts Guided Trace Representation for Fault Localization
  20. Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study
  21. Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach
  22. de G raph CS: Embedding Variable-based Flow Graph for Neural Code Search
  23. NeuronFair
  24. A universal data augmentation approach for fault localization
  25. Bridging pre-trained models and downstream tasks for source code understanding
  26. Multi-intention-aware configuration selection for performance tuning
  27. Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github’s Sponsor Mechanism
  28. Detecting Adversarial Samples with Graph-Guided Testing
  29. CP-detector
  30. An Empirical Study of Multi-discussing Pattern in Open-Source Software Development
  31. BugSum
  32. On the Shoulders of Giants
  33. Software visualization and deep transfer learning for effective software defect prediction
  34. Transferring Well-Trained Models for Cross-Project Issue Classification
  35. Who Will Become a Long-Term Contributor?
  36. A dataset of duplicate pull-requests in github
  37. Detecting Duplicate Pull-requests in GitHub