All Stories

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