All Stories

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