DecisionDroid:一个基于监督学习的系统，用于识别克隆的Android应用程序

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering Pub Date : 2017-08-21 DOI:10.1145/3106237.3121277

Ayush Kohli

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引用次数: 3

摘要

本研究提出了一个基于监督学习的系统DecisionDroid，用于识别克隆的Android应用对。DecisionDroid使用人工验证的12,000个Android应用对的多样化数据集进行训练。在100次10倍交叉验证中，DecisionDroid达到了97.9%的精度，98.3%的召回率和98.4%的准确率。

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DecisionDroid: a supervised learning-based system to identify cloned Android applications

This study presents DecisionDroid, a supervised learning based system to identify cloned Android app pairs. DecisionDroid is trained using a manually verified diverse dataset of 12,000 Android app pairs. On a hundred ten-fold cross validations, DecisionDroid achieved 97.9% precision, 98.3% recall, and 98.4% accuracy.

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Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering

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