All Stories

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