Static analysis of android apps: A systematic literature review
By Li Li, Tégawendé F. Bissyandé, Mike Papadakis, Siegfried Rasthofer, Alexandre Bartel, Damien Octeau, Jacques Klein, Yves Le Traon. Information and Software Technology, 2017
360 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Software, Signal Processing
View Paper: https://www.semanticscholar.org/paper/116e047cb9076bfd95139c00680f1114f4f5fa15
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Software
In Signal Processing
Citations in the corpus
- A Survey of Android Malware Detection with Deep Neural Models (2020, methodology): “For instance, 20 Android malware detection tools were compared in Reference [28] in the perspectives of static and dynamic analysis supported by 62 references; a landscape of Android security threats and defenses in terms of static analysis and dynamic analysis was presented in Reference [29] with 1”
- Large Language Models for Software Engineering: A Systematic Literature Review (2023, methodology): “[128], which has already been used in other SE-related SLRs [149, 173, 229, 279].”