All Stories

  1. Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
  2. Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques
  3. Broken Agreement: The Evolution of Solidity Error Handling
  4. Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites
  5. Exploring LLM-Driven Explanations for Quantum Algorithms
  6. Enhancing Energy-Awareness in Deep Learning through Fine-Grained Energy Measurement
  7. Speeding up Genetic Improvement via Regression Test Selection
  8. The Patch Overfitting Problem in Automated Program Repair: Practical Magnitude and a Baseline for Realistic Benchmarking
  9. Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
  10. Fairness Testing: A Comprehensive Survey and Analysis of Trends
  11. TrickyBugs: A Dataset of Corner-case Bugs in Plausible Programs
  12. Greenlight: Highlighting TensorFlow APIs Energy Footprint
  13. User-Centric Deployment of Automated Program Repair at Bloomberg
  14. Fairness Improvement with Multiple Protected Attributes: How Far Are We?
  15. Assess and Summarize: Improve Outage Understanding with Large Language Models
  16. MEG: Multi-objective Ensemble Generation for Software Defect Prediction (HOP GECCO'23)
  17. Multi-objective Search for Gender-fair and Semantically Correct Word Embeddings (HOP GECCO'23)
  18. Who Judges the Judge: An Empirical Study on Online Judge Tests
  19. Automated Optimisation of Modern Software System Properties
  20. A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers
  21. MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
  22. On the Relationship Between Story Points and Development Effort in Agile Open-Source Software
  23. MEG: Multi-objective Ensemble Generation for Software Defect Prediction
  24. On the use of evaluation measures for defect prediction studies
  25. Py2Cy
  26. A versatile dataset of agile open source software projects
  27. Green AI
  28. Privileged and unprivileged groups
  29. Did You Do Your Homework? Raising Awareness on Software Fairness and Discrimination
  30. Diversifying Focused Testing for Unit Testing
  31. Fairea: a model behaviour mutation approach to benchmarking bias mitigation methods
  32. The effect of offspring population size on NSGA-II
  33. Enhancing Genetic Improvement of Software with Regression Test Selection
  34. Artifact for Enhancing Genetic Improvement of Software with Regression Test Selection
  35. FrUITeR: a framework for evaluating UI test reuse
  36. A new approach to distribute MOEA pareto front computation
  37. Optimising word embeddings with search-based approaches
  38. The importance of accounting for real-world labelling when predicting software vulnerabilities
  39. Some challenges for software testing research (invited talk paper)
  40. Comparing the effectiveness of three parallelisation approaches for genetic algorithms
  41. Linear Programming as a Baseline for Software Effort Estimation
  42. Multi-objective software effort estimation
  43. A parallel genetic algorithms framework based on Hadoop MapReduce
  44. Exploiting prior-phase effort data to estimate the effort for the subsequent phases
  45. The plastic surgery hypothesis