All Stories

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