Aspect oriented software development using clustering GEA Techniques
|International Journal of Computer Science and Engineering|
|© 2015 by SSRG - IJCSE Journal|
|Volume 2 Issue 1|
|Year of Publication : 2015|
|Authors : M.K.Mathiyazhagaan, R.B.Vinothkumar|
M.K.Mathiyazhagaan, R.B.Vinothkumar, "Aspect oriented software development using clustering GEA Techniques" SSRG International Journal of Computer Science and Engineering 2.1 (2015): 1-5.
M.K.Mathiyazhagaan, R.B.Vinothkumar, (2015). Aspect oriented software development using clustering GEA Techniques. SSRG International Journal of Computer Science and Engineering 2.1, 1-5.
Early aspects focus on the problem domain, representing the goals and constraints of users, customers, and other constituencies affected by a software intensive system. However, analysis of early aspects is hard because stakeholders are often vague about the concepts involved, and may use different vocabularies to express their concerns. In that the Goal modeling fits model-driven engineering (MDE) in that it captures stakeholder concerns and the interdependencies using concepts that are much less bound to the underlying implementation technology and are much closer to the problem languages. Aspect-oriented Programming (AOP) provides language constructs to facilitate the representation of multiple perceptions. Synthesis of AOP and MDE not only manages software complexity but also improves productivity, as well as model quality and longevity. In this paper, we propose a model-driven framework for tracing aspects from requirements. These aspects can be discovered during goal-oriented requirements analysis. This proposal includes a systematic process for discovering aspects from relationships between functional and nonfunctional goals.
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Discovering Early aspects, Goal-oriented Requirements, Aspect-oriented Programming(AOP), Model-driven Engineering(MDE)