All Stories

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