All Stories

  1. FuMi: A Runtime Fuzz-based Machine Learning Precision Measurement and Testing Framework
  2. AutoAdapt: On the Application of AutoML for Parameter-Efficient Fine-Tuning of Pre-Trained Code Models
  3. Software Fairness: An Analysis and Survey
  4. A smarter tool to find security flaws in PHP websites before they go live
  5. Assessing the Robustness of Test Selection Methods for Deep Neural Networks
  6. The Importance of Accounting for Execution Failures when Predicting Test Flakiness
  7. Non-Flaky and Nearly-Optimal Time-based Treatment of Asynchronous Wait Web Tests
  8. Abstraction-Aware Inference of Metamorphic Relations
  9. Test Optimization in DNN Testing: A Survey
  10. SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions
  11. Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants
  12. KAPE: Automatic performance estimation of deep code search
  13. Automated Repair of Unrealisable LTL Specifications Guided by Model Counting
  14. GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks
  15. Evaluating the Impact of Experimental Assumptions in Automated Fault Localization
  16. iBiR : Bug Report driven Fault Injection
  17. GraphCode2Vec
  18. FlakiMe
  19. Improving machine translation systems via isotopic replacement
  20. Influence-driven data poisoning in graph-based semi-supervised classifiers
  21. Mutation Testing in Evolving Systems: Studying the relevance of mutants to code evolution
  22. An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement
  23. Test Selection for Deep Learning Systems
  24. Killing Stubborn Mutants with Symbolic Execution
  25. Search-based adversarial testing and improvement of constrained credit scoring systems
  26. Muteria
  27. Data-driven Simulation and Optimization for Covid-19 Exit Strategies
  28. The importance of accounting for real-world labelling when predicting software vulnerabilities
  29. Ukwikora: continuous inspection for keyword-driven testing
  30. Semantic fuzzing with zest
  31. Search-based test and improvement of machine-learning-based anomaly detection systems
  32. Are mutants really natural?
  33. Time to clean your test objectives
  34. Are mutation scores correlated with real fault detection?
  35. Featured model-based mutation analysis
  36. Comparing white-box and black-box test prioritization
  37. Employing second-order mutation for isolating first-order equivalent mutants
  38. A variability perspective of mutation analysis
  39. Metallaxis-FL: mutation-based fault localization