All Stories

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