All Stories

  1. TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
  2. When Code Authors Are Agents: A Large-Scale Study of Human–Agent Collaboration in Pull Requests
  3. Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering
  4. FairFLRep: Fairness-Aware Fault Localization and Repair of Deep Neural Networks
  5. Tracing Optimization for Performance Modeling and Regression Detection
  6. Multi-Agent AI Framework for Threat Mitigation and Resilience in Machine Learning Systems
  7. An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software
  8. Continuously Learning Bug Locations
  9. Kernel-Level Event-Based Performance Anomaly Detection in Software Systems under Varying Load Conditions
  10. Mock Deep Testing: Toward Separate Development of Data and Models for Deep Learning
  11. An Empirical Study of Testing Machine Learning in the Wild
  12. Editorial: Special Issue on Software Engineering and AI for Data Quality
  13. Leveraging Data Characteristics for Bug Localization in Deep Learning Programs
  14. determining the data points used to train large code models
  15. In-Simulation Testing of Deep Learning Vision Models in Autonomous Robotic Manipulators
  16. Reputation Gaming in Crowd Technical Knowledge Sharing
  17. Reinforcement Learning Informed Evolutionary Search for Autonomous Systems Testing
  18. Mining Action Rules for Defect Reduction Planning
  19. Chain of Targeted Verification Questions to Improve the Reliability of Code Generated by LLMs
  20. GIST : Generated Inputs Sets Transferability in Deep Learning
  21. PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4
  22. AmbieGen at the SBFT 2024 Tool Competition - CPS-UAV Track
  23. Harnessing Predictive Modeling and Software Analytics in the Age of LLM-Powered Software Development (Invited Talk)
  24. Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023)
  25. An Intentional Forgetting-Driven Self-Healing Method for Deep Reinforcement Learning Systems
  26. PaReco: patched clones and missed patches among the divergent variants of a software family
  27. Data quality and model under-specification issues (keynote)
  28. SmOOD: Smoothness-based Out-of-Distribution Detection Approach for Surrogate Neural Networks in Aircraft Design
  29. Video Game Bad Smells: What they are and how Developers Perceive Them
  30. An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets
  31. Studying the Practices of Deploying Machine Learning Projects on Docker
  32. Challenges in machine learning application development
  33. Identification of out-of-distribution cases of CNN using class-based surprise adequacy
  34. Testing Feedforward Neural Networks Training Programs
  35. AmbieGen tool at the SBST 2022 tool competition
  36. Automatic Fault Detection for Deep Learning Programs Using Graph Transformations
  37. Shadow Program Committee Initiative
  38. Assessing Developer Expertise from the Statistical Distribution of Programming Syntax Patterns
  39. Automatic API Usage Scenario Documentation from Technical Q&A Sites
  40. Are Multi-Language Design Smells Fault-Prone? An Empirical Study
  41. On the use of C# Unsafe Code Context
  42. On the Prevalence, Impact, and Evolution of SQL Code Smells in Data-Intensive Systems
  43. Multi-language Design Smells
  44. The Scent of Deep Learning Code
  45. Developer-Driven Code Smell Prioritization
  46. Code smells for multi-language systems
  47. Proceedings of the 26th Conference on Program Comprehension
  48. The open-closed principle of modern machine learning frameworks
  49. Developer interaction traces backed by IDE screen recordings from think aloud sessions
  50. EARMO
  51. Code Authorship and Fault-proneness of Open-Source Android Applications
  52. Software analytics
  53. An Empirical Study of Crash-inducing Commits in Mozilla Firefox
  54. Evaluating the impact of design pattern and anti-pattern dependencies on changes and faults
  55. Challenges and Issues of Mining Crash Reports
  56. The Practice and Future of Release Engineering: A Roundtable with Three Release Engineers
  57. Do code review practices impact design quality? A case study of the Qt, VTK, and ITK projects
  58. Message from the chairs
  59. An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS)
  60. Investigating the Change-Proneness of Service Patterns and Antipatterns
  61. On rapid releases and software testing: a case study and a semi-systematic literature review
  62. Improving bug management using correlations in crash reports
  63. Anti-pattern Mutations and Fault-proneness
  64. Supplementary Bug Fixes vs. Re-opened Bugs
  65. Why Do Automated Builds Break? An Empirical Study
  66. An empirical study of the effect of file editing patterns on software quality
  67. Understanding the impact of rapid releases on software quality
  68. An empirical study on the fault-proneness of clone migration in clone genealogies
  69. On improving the dependability of cloud applications with fault-tolerance
  70. A qualitative analysis of software build system changes and build ownership styles
  71. Factors impacting rapid releases
  72. Tracing back the history of commits in low-tech reviewing environments
  73. Towards understanding how developers spend their effort during maintenance activities
  74. Mining the relationship between anti-patterns dependencies and fault-proneness
  75. On the effect of program exploration on maintenance tasks
  76. Message from the chairs
  77. On Rapid Releases and Software Testing
  78. Predicting Bugs Using Antipatterns
  79. How Does Context Affect the Distribution of Software Maintainability Metrics?
  80. An empirical study of faults in late propagation clone genealogies
  81. Foreword
  82. Improving bug localization using correlations in crash reports
  83. 1st International Workshop on Release Engineering (RELENG 2013)
  84. An empirical study of the fault-proneness of clone mutation and clone migration
  85. Extracting RESTful services from Web applications
  86. A concept analysis approach for guiding users in service discovery
  87. An Empirical Study on Factors Impacting Bug Fixing Time
  88. Inferring Repository File Structure Modifications Using Nearest-Neighbor Clone Detection
  89. An Empirical Study of the Effect of File Editing Patterns on Software Quality
  90. Analyzing the Impact of Antipatterns on Change-Proneness Using Fine-Grained Source Code Changes
  91. Adapting Linux for mobile platforms: An empirical study of Android
  92. Recovering commit dependencies for selective code integration in software product lines
  93. Do faster releases improve software quality? An empirical case study of Mozilla Firefox
  94. An Entropy Evaluation Approach for Triaging Field Crashes: A Case Study of Mozilla Firefox
  95. Late propagation in software clones
  96. Predicting post-release defects using pre-release field testing results
  97. Classifying field crash reports for fixing bugs: A case study of Mozilla Firefox
  98. An exploratory study of the impact of antipatterns on class change- and fault-proneness
  99. Improving the Modifiability of the Architecture of Business Applications
  100. An Automatic Approach for Extracting Process Knowledge from the Web
  101. BDTEX: A GQM-based Bayesian approach for the detection of antipatterns
  102. An Empirical Study of the Impact of Two Antipatterns, Blob and Spaghetti Code, on Program Comprehension
  103. SQUANER: A framework for monitoring the quality of software systems
  104. IDS: An Immune-Inspired Approach for the Detection of Software Design Smells
  105. Numerical Signatures of Antipatterns: An Approach Based on B-Splines
  106. Playing roles in design patterns: An empirical descriptive and analytic study
  107. A Bayesian Approach for the Detection of Code and Design Smells
  108. SQUAD: Software Quality Understanding through the Analysis of Design
  109. Tracking Design Smells: Lessons from a Study of God Classes
  110. An Exploratory Study of the Impact of Code Smells on Software Change-proneness
  111. Do Design Patterns Impact Software Quality Positively?
  112. DEQUALITE
  113. Is it a bug or an enhancement?