All Stories

  1. Exploring Data-Efficient Adaptation of Large Language Models for Code Generation
  2. GraphLocator: Graph-Guided Causal Reasoning for Issue Localization
  3. Chiseling Out Efficiency: Structured Skeleton Supervision for Efficient Code Generation
  4. Influence-Aware Bayesian-Inspired Token Reweighting for Improved Code Generation
  5. AgencyTree: Automated Multimedia Workflow Generation with Robust Planning via an Abstract Capability Tree
  6. PATCH : Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing
  7. Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
  8. Evaluating Large Language Models for Requirements Question Answering in Industrial Aerospace Software
  9. ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation
  10. Expressing the Needs in Smart Home: What Is the End Users’ Favorite Way
  11. Large Language Model-Aware In-Context Learning for Code Generation
  12. The Current Challenges of Software Engineering in the Era of Large Language Models
  13. Proceedings of the 25th International Middleware Conference
  14. Hidden Dependency between code changes of commits
  15. Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates
  16. GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph
  17. HITS: High-coverage LLM-based Unit Test Generation via Method Slicing
  18. Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap
  19. GABoost: Graph Alignment Boosting via Local Optimum Escape
  20. CodeScore: Evaluating Code Generation by Learning Code Execution
  21. Systematic Literature Review of Commercial Participation in Open Source Software
  22. Structured Chain-of-Thought Prompting for Code Generation
  23. IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion
  24. Exploring and Unleashing the Power of Large Language Models in Automated Code Translation
  25. AceCoder : An Effective Prompting Technique Specialized in Code Generation
  26. Self-planning Code Generation with Large Language Models
  27. Self-collaboration Code Generation via ChatGPT
  28. Exploring the Potential of Large Language Models in Self-adaptive Systems
  29. Knowledge-Aware Code Generation with Large Language Models
  30. KareCoder: A New Knowledge-Enriched Code Generation System
  31. A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems
  32. Poison Attack and Poison Detection on Deep Source Code Processing Models
  33. Non-Autoregressive Line-Level Code Completion
  34. Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
  35. MCodeSearcher: Multi-View Contrastive Learning for Code Search
  36. CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation
  37. CodeEditor : Learning to Edit Source Code with Pre-trained Models
  38. SkCoder: A Sketch-based Approach for Automatic Code Generation
  39. On the Significance of Category Prediction for Code-Comment Synchronization
  40. Privacy-Preserving Resilient Consensus for Multi-Agent Systems in a General Topology Structure
  41. Multi-perspective representation learning for source code analytics (invited tutorial)
  42. Towards Robustness of Deep Program Processing Models—Detection, Estimation, and Enhancement
  43. Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22)
  44. A Taxonomy for Architecting Safe Autonomous Unmanned Systems
  45. Learning to recommend method names with global context
  46. Learning to represent programs with heterogeneous graphs
  47. Turnover of Companies in OpenStack: Prevalence and Rationale
  48. IoTranx: Transactions for Safer Smart Spaces
  49. SoManyConflicts: Resolve Many Merge Conflicts Interactively and Systematically
  50. Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search
  51. EditSum: A Retrieve-and-Edit Framework for Source Code Summarization
  52. SmartCommit: a graph-based interactive assistant for activity-oriented commits
  53. Retrieve and refine
  54. Multi-task learning based pre-trained language model for code completion
  55. Modular Tree Network for Source Code Representation Learning
  56. A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning
  57. How do companies collaborate in open source ecosystems?
  58. IntelliMerge: a refactoring-aware software merging technique
  59. Open Models
  60. Deep code comment generation
  61. Companies' domination in FLOSS development
  62. QoS-aware service composition using blockchain-based smart contracts
  63. User preference based autonomic generation of self-adaptive rules