Incorporating Android Code Smells into Java Static Code Metrics for Security Risk Prediction of Android Applications
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9282732/9282275/09282278.pdf?arnumber=9282278
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Actionable code smell identification with fusion learning of metrics and semantics;Science of Computer Programming;2024-09
2. Security‐based code smell definition, detection, and impact quantification in Android;Software: Practice and Experience;2023-09-09
3. A Severity Assessment of Python Code Smells;IEEE Access;2023
4. An exploratory study on the relationship of smells and design issues with software vulnerabilities;Proceedings of the 1st International Workshop on Mining Software Repositories Applications for Privacy and Security;2022-11-07
5. Android Mobile Applications Vulnerabilities and Prevention Methods: A Review;2021 2nd Information Technology To Enhance e-learning and Other Application (IT-ELA);2021-12-28
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