Graph neural networks on class-level and method-level code graphs outperform prior methods for refactoring long method, large class, and feature envy smells via semi-automated dataset generation.
JExtract: An Eclipse Plug-in for Recommending Automated Extract Method Refactorings
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Although Extract Method is a key refactoring for improving program comprehension, refactoring tools for such purpose are often underused. To address this shortcoming, we present JExtract, a recommendation system based on structural similarity that identifies Extract Method refactoring opportunities that are directly automated by IDE-based refactoring tools. Our evaluation suggests that JExtract is far more effective (w.r.t. recall and precision) to identify misplaced code in methods than JDeodorant, a state-of-the-art tool
fields
cs.SE 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Code Smell Refactoring Approach using GNNs
Graph neural networks on class-level and method-level code graphs outperform prior methods for refactoring long method, large class, and feature envy smells via semi-automated dataset generation.