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SDG-GNN based software design patterns detection

delete2026-05-22
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PRE
AI
F
Facundo Chen
王璐璐 cover
王璐璐 (Lulu Wang) *
李
李必信 (Bixin Li)
DOI：10.1016/j.infsof.2026.108184delete
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Abstract

Abstract

En 中文
Design Patterns Detection (DPD) is essential for software maintenance, as it uncovers design intent and ensures consistency during code evolution. However, learning-based DPD methods face dual challenges: reliance on high-quality, instance-level training data, and inherent limitations in effectively capturing the complex structural and semantic features of design patterns in source code.
Keywords:
Design Patterns Detection
Software Maintenance
Graph Neural Networks
Structural Features
Semantic Features

Journal

Information and Software Technology cover
Information and Software Technology
IF:
4.3
Papers:
3.7K
Citations:
7.7K

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No organization information available