A frequent requirement for countering Man-At-The-End (MATE) attacks is protecting software that runs on end-user hardware controlled by attackers. Software obfuscation can safeguard intellectual property and prevent malicious product tampering, but it comes at a performance cost. This thesis analyses the critical challenges of predicting the performance overhead associated with obfuscation techniques commonly used in real world software, based on well-established literature. As patterns associated with these techniques are known, the performance impact implied in their usage is heavily dependent on the specifics of the protected software. An informed decision must be taken by the company or the developer aiming at protecting their own software, considering the changes in user experience associated with increased hardware resource utilization.