Improving Android App Quality Using Big Code Analysis-based Techniques

With the mobile industry’s development, the competition has become increasingly intense. Ensuring the high quality of apps to remain competitive has become a top priority for app markets and developers. However, this is not easy as app markets are constantly challenged by malware, and app developers are often under pressure to fix vulnerabilities and learn new knowledge. Just like big data that brings vast amounts of data enabling big data applications, large repositories of Android app programs allow a new class of applications that leverage “big code”. This thesis seeks to utilize big code analysis-based techniques to improve the quality of Android apps.