All Stories

  1. SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions
  2. Test Optimization in DNN Testing: A Survey
  3. KAPE: Automatic performance estimation of deep code search
  4. Automated Repair of Unrealisable LTL Specifications Guided by Model Counting
  5. GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
  6. Evaluating the Impact of Experimental Assumptions in Automated Fault Localization
  7. iBiR : Bug Report driven Fault Injection
  8. GraphCode2Vec
  9. FlakiMe
  10. Improving machine translation systems via isotopic replacement
  11. Influence-driven data poisoning in graph-based semi-supervised classifiers
  12. Mutation Testing in Evolving Systems: Studying the relevance of mutants to code evolution
  13. An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement
  14. Test Selection for Deep Learning Systems
  15. Killing Stubborn Mutants with Symbolic Execution
  16. Search-based adversarial testing and improvement of constrained credit scoring systems
  17. Muteria
  18. Data-driven Simulation and Optimization for Covid-19 Exit Strategies
  19. The importance of accounting for real-world labelling when predicting software vulnerabilities
  20. Ukwikora: continuous inspection for keyword-driven testing
  21. Semantic fuzzing with zest
  22. Search-based test and improvement of machine-learning-based anomaly detection systems
  23. Are mutants really natural?
  24. Time to clean your test objectives
  25. Are mutation scores correlated with real fault detection?
  26. Featured model-based mutation analysis
  27. Comparing white-box and black-box test prioritization
  28. Employing second-order mutation for isolating first-order equivalent mutants
  29. A variability perspective of mutation analysis
  30. Metallaxis-FL: mutation-based fault localization