1 INTRODUCTION  
2 BACKGROUND AND RELATED WORK  
3 RESEARCH METHODOLOGY  
4 RQ1: HOW TO PREPARE RAW CONFIGURATION DATA FOR LEARNING?  
5 RQ2: HOW CAN THE DEEP CONFIGURATION PERFORMANCE MODEL BE BUILT?  
6 RQ3: HOW ARE THE DEEP CONFIGURATION PERFORMANCE MODELS EVALUATED?  
7 RQ4: HOW TO EXPLOIT THE DEEP CONFIGURATION PERFORMANCE MODEL?  
8 FUTURE RESEARCH OPPORTUNITIES  
9 THREATS TO VALIDITY  
10 CONCLUSION  