Aspect-oriented design has emerged as a dominant method in software industry and many new metrics have been suggested for quality prediction of aspect-oriented programs, but the consequence of those metrics is not yet confirmed. Software process control can be refurbished and high degree of reliability can be realized if faults are predicted in the primary stages of software development life cycle. Testing quality related issues of software has become critical with the increasing importance of the software quality. Many authors have suggested theoretical validation followed by empirical evaluation using proven statistical and experimental techniques for evaluating in the area of relevance of any new metrics. This paper is an effort to introduce a hybrid technique, the combination of genetic algorithm and Fuzzy system for the prediction of reusability parameter of the software quality. The Android Aspect J system is used for quality prediction. The internal quality metrics like customizability, commonality, portability, understandability and coupling are calculated from the Aspect J software. The 5 reusability values are measured using Genetic Fuzzy System on the basis of - these quality metrics. From the experimental results, it is observed that our proposed hybrid system gives superior results when compared to the other existing methods