All Stories

  1. Walking on thin ice? Defending RAG-based code recommender systems against Poisoning attacks
  2. Noise-reduction-oriented super-resolution reconstruction for precision agriculture applications
  3. Lightweight-oriented classification using distillation learning and spatial information from tabular data
  4. Detection of Technical Debt in Java Source Code
  5. Automated summarization of software documents: an LLM-based multi-agent approach
  6. Many Hands Make Light Work: An LLM-based Multi-Agent System for Detecting Malicious PyPI Packages
  7. Walking on Thin Ice?: Defending RAG-based Code Recommender Systems Against Poisoning Attacks
  8. Obfuscation by Simplification: How LLMs TransformCode Through Structural Expansion
  9. On the Gap Between Declarative Vulnerability Knowledge and Secure Code Generation in Large Language Models
  10. Obfuscation by Simplification: How LLMs Transform Code Through Structural Expansion
  11. Binary and multi-class classification of Self-Admitted Technical Debt: How far can we go?
  12. Teamwork makes the dream work: LLMs-Based Agents for GitHub README.MD Summarization
  13. Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy
  14. Simplicity by Obfuscation: Evaluating LLM-Driven Code Transformation with Semantic Elasticity
  15. Bake Two Cakes with One Oven: RL for Defusing Popularity Bias and Cold-start in Third-Party Library Recommendations
  16. EnseSmells : Deep ensemble and programming language models for automated code smells detection
  17. On the use of large language models in model-driven engineering
  18. DeepMig: A transformer-based approach to support coupled library and code migrations
  19. Recognition of breast cancer from heterogeneous ultrasound images: A multi-level deep learning approach
  20. Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking
  21. Automatic Categorization of GitHub actions using few-shot learning
  22. Exploring user privacy awareness on GitHub: an empirical study
  23. GPTSniffer: A CodeBERT-based classifier to detect source code written by ChatGPT
  24. Automated categorization of pre-trained models in software engineering: A case study with a Hugging Face dataset
  25. When simplicity meets effectiveness: Detecting code comments coherence with word embeddings and LSTM
  26. LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
  27. SGD method for entropy error function with smoothing $$l_0$$ regularization for neural networks
  28. LEV4REC: A feature-based approach to engineering RSSEs
  29. Programming with ChatGPT: How far can we go?
  30. On the Limits of Lossy Compression for Human Activity Recognition in Sensor Networks
  31. Automatic detection of weeds: synergy between EfficientNet and transfer learning to enhance the prediction accuracy
  32. Fusion of edge detection and graph neural networks to classifying electrocardiogram signals
  33. Too long; didn’t read: Automatic summarization of GitHub README.MD with Transformers
  34. Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells
  35. Dealing with Popularity Bias in Recommender Systems for Third-party Libraries: How far Are We?
  36. MORGAN: a modeling recommender system based on graph kernel
  37. Fitting missing API puzzles with machine translation techniques
  38. Edge detection and graph neural networks to classify mammograms: A case study with a dataset from Vietnamese patients
  39. Machine Learning for Managing Modeling Ecosystems: Techniques, Applications, and a Research Vision
  40. Automatic detection of Covid-19 from chest X-ray and lung computed tomography images using deep neural networks and transfer learning
  41. Finding with NEMO
  42. DeepLib: Machine translation techniques to recommend upgrades for third-party libraries
  43. HybridRec: A recommender system for tagging GitHub repositories
  44. Recommending API Function Calls and Code Snippets to Support Software Development
  45. PILOT
  46. LEV4REC: A Low-Code Environment to Support the Development of Recommender Systems 
  47. MemoRec: a recommender system for assisting modelers in specifying metamodels
  48. Endowing third-party libraries recommender systems with explicit user feedback mechanisms
  49. Providing upgrade plans for third-party libraries: a recommender system using migration graphs
  50. Validation of the OAKS prognostic model for acute kidney injury after gastrointestinal surgery
  51. An Efficient Classification Algorithm for Traditional Textile Patterns from Different Cultures Based on Structures
  52. Detection of tuberculosis from chest X-ray images: Boosting the performance with vision transformer and transfer learning
  53. Correction to: Evaluation of a machine learning classifier for metamodels
  54. Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?
  55. A GNN-based Recommender System to Assist the Specification of Metamodels and Models
  56. A Lightweight Approach for the Automated Classification and Clustering of Metamodels
  57. A tool to develop recommender system
  58. Evaluation of a machine learning classifier for metamodels
  59. Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
  60. Development of recommendation systems for software engineering: the CROSSMINER experience
  61. Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks
  62. Convolutional neural networks for enhanced classification mechanisms of metamodels
  63. PostFinder: Mining Stack Overflow posts to support software developers
  64. An extensible tool-chain for analyzing datasets of metamodels
  65. Democratizing the development of recommender systems by means of low-code platforms
  66. TopFilter
  67. Deep Learning for Automated Recognition of Covid-19 from Chest X-ray Images
  68. Detecting Java software similarities by using different clustering techniques
  69. A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories
  70. Automated fruit recognition using EfficientNet and MixNet
  71. CrossRec: Supporting software developers by recommending third-party libraries
  72. An automated approach to assess the similarity of GitHub repositories
  73. Automated Classification of Metamodel Repositories: A Machine Learning Approach
  74. FOCUS: A Recommender System for Mining API Function Calls and Usage Patterns
  75. Enabling heterogeneous recommendations in OSS development
  76. Building Information Systems Using Collaborative-Filtering Recommendation Techniques
  77. CrossSim: Exploiting Mutual Relationships to Detect Similar OSS Projects
  78. Modification to K-Medoids and CLARA for Effective Document Clustering
  79. Firstfilter: A cost-sensitive approach to malicious URL detection in large-scale enterprise networks
  80. An evaluation of SimRank and Personalized PageRank to build a recommender system for the Web of Data
  81. Characterizing and modeling people movement from mobile phone sensing traces
  82. Finding Similar Artists from the Web of Data: A PageRank Based Semantic Similarity Metric
  83. A Context-Aware Traffic Engineering Model for Software-Defined Networks
  84. Content-Based Recommendations via DBpedia and Freebase: A Case Study in the Music Domain
  85. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  86. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed
  87. A Context-Aware Model for the Management of Agent Platforms in Dynamic Networks
  88. Building Consensus in Context-Aware Systems Using Ben-Or’s Algorithm: Some Proposals for Improving the Convergence Speed