Android Source Code Vulnerability Detection: A Systematic Literature Review

The use of mobile devices is rising daily in this technological era. A continuous and increasing number applications are constantly offered on marketplaces to fulfil the needs smartphone users. Many Android do not address security aspects appropriately. This often due a lack automated mechanisms identify, test, fix source code vulnerabilities at early stages design development. Therefore, need such issues initial rather than providing updates patches published widely recognized. Researchers have proposed several methods improve by detecting malicious codes. Systematic Literature Review (SLR) focuses application analysis vulnerability detection tools critically evaluating 118 carefully selected technical studies between 2016 2022. It highlights advantages, disadvantages, applicability techniques, potential improvements those studies. Both Machine Learning (ML)-based conventional related discussed while focusing more ML-based methods, since many recent conducted experiments with ML. article aims enable researchers acquire in-depth knowledge secure development minimizing applying ML methods. Furthermore, can discussions findings SLR identify future research directions.