Software obfuscation is the most common protection against Man-at-the-End attacks. However, it can be challenging to evaluate the effectiveness of each technique and the effects it has on the resulting software performance. This thesis addresses the problem of performance prediction in software obfuscation, focusing on obfuscation techniques applied to C source code. The final goal of this work is to create a dataset of accurate information about the execution of various applications matched with the respective performance variations when different obfuscation techniques are applied. To this purpose, an environment has been created to run tests and automatically collect reliable data about software execution and its performance.