All Stories

  1. Knowledge Graph Driven Inference Testing for Question Answering Software
  2. Generating Python Type Annotations from Type Inference: How Far Are We?
  3. Assessing effectiveness of test suites: what do we know and what should we do?
  4. Towards Better Dependency Scope Settings in Maven Projects
  5. Back Deduction Based Testing for Word Sense Disambiguation Ability of Machine Translation Systems
  6. Code-line-level bugginess identification: How far have we come, and how far have we yet to go?
  7. Accelerating OCR-Based Widget Localization for Test Automation of GUI Applications
  8. Training data debugging for the fairness of machine learning software
  9. Mutant reduction evaluation: what is there and what is missing?
  10. How Far Have We Progressed in Identifying Self-admitted Technical Debts? A Comprehensive Empirical Study
  11. Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models
  12. Stay professional and efficient
  13. Multiple-boundary clustering and prioritization to promote neural network retraining
  14. An Empirical Study on Dynamic Typing Related Practices in Python Systems
  15. An Empirical Study on Critical Blocking Bugs
  16. RoScript
  17. Impact analysis of cross-project bugs on software ecosystems
  18. How C++ Templates Are Used for Generic Programming
  19. Python probabilistic type inference with natural language support