All Stories

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