Determining earlier characteristics based on goal driven approach

Aspect-oriented software development plays an vital role in development and maintenance approach of software engineering across software development phases. However, in existing system the discovering of early aspects to better integration from requirement is still a challenging issue. In this proposed work , the experimentation has been made to propose a Goal-driven Early Aspect approach (called GEA) to find an early aspects by means of a clustering algorithm in which relationships among goals and use cases are utilized efficiently to explore resemblance degrees of a clustering goals, and overall total communication degrees are formulate to check the validity of the formation of each cluster. Presenting early aspects not only magnifies the goal-driven requirements modeling to handle intersecting the concerns, but also provides interchangeably insights into the analysis and design of software development. Moreover, relationships among goals appeared numerically are more informative to discover early aspects and more easily to be processed computationally than qualitative terms. More secured MD5 (Message Digest) algorithm is additionally implemented to provide the better authentication and identity checking services. Keywords— Early aspects, goals, goals interaction, fuzzy logic, use cases, goal cluster