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Feb, 2024
基于机器学习的调用图修剪的有效性:一项实证研究
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
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Amir M. Mir, Mehdi Keshani, Sebastian Proksch
TL;DR
本研究利用实际的Java程序数据集和动态调用图构建方法,通过机器学习技术进行精确的静态调用图修剪,从而大幅提高调用图的精确度和计算效率。
Abstract
static call graph
(CG) construction often over-approximates call relations, leading to sound, but imprecise results. Recent research has explored
machine learning
(ML)-based
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