All Stories

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