All Stories

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