Methods and systems for a deep learning based problem advisor are disclosed. A method includes: obtaining, by a computing device, a log file including events generated during execution of a software application; determining, by the computing device, at least one possible cause for a problem in the software application using the obtained log file and a knowledge base including calling paths for each of a plurality of methods in source code of the software application; for each of the at least one possible cause for the problem, the computing device simulating user actions in the software application; and determining, by the computing device, a root cause based on the simulating user actions in the software application.