All Stories

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