Thông tin nhà nghiên cứu KH&CN

Leveraging LSTM and Pre-trained Models for Effective Summarization of Stack Overflow Posts

Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking

Dynamic Difficulty Coefficient in Search-Based Software Testing: Targeting to Hard Branch Coverage

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss

A Novel Dynamic Programming Method for Non-Parametric Data Discretization

On the Value of Code Embedding and Imbalanced Learning Approaches for Software Defect Prediction

A Novel Relevance Aggregation Approach for Bug Localization

A Novel Fitness Function for Automated Software Test Case Generation Based on Nested Constraint Hardness

A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection

Fusion of deep convolutional and LSTM recurrent neural networks for automated detection of code smells

A Filter Approach Based on Binary Integer Programming for Feature Selection

Combining Deep Learning and Kernel PCA for Software Defect Prediction

Empirical Analysis of Filter Feature Selection Criteria on Financial Datasets

A Novel Type-based Genetic Algorithm for Extractive Summarization

A Hybrid Approach based on Genetic Algorithm with Ranking Aggregation for Feature Selection

An Imbalanced Deep Learning Model for Bug Localization

A Hybrid PSO-GA for Extractive Text Summarization

Adaptive Ranking Relevant Source Files for Bug Reports Using Genetic Algorithm

A Feature-Augmented Deep Learning Model for Extractive Summarization

Enhanced Genetic Algorithm for Automatic Generation of Unit and Integration Test Suite

Enhanced Genetic Algorithm for Single Document Extractive Summarization

The Kendrick modelling platform: language abstractions and tools for epidemiology