All Stories

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