All Stories

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