All Stories

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