Planning an Automated Aspect Mining Tool

نویسندگان

  • Simone LIVIERI
  • Takashi ISHIO
  • Shinji KUSUMOTO
  • Katsuro INOUE
چکیده

Software systems are growing in size and complexity. Increased complexity often leads to decresed mainainability and bad modularity, and re-engineering tasks is often performed in order to increase the key qualities of the system. With the incentive of a growing attention to aspect-oriented programming, the efforts to devise new techniques for refactoring legacy system into an aspect-oriented design have multiplied. Aspect mining tries to identify possible cross-cutting concerns in software systems and thus support this kind of refactoring. In this paper, we present a tentative approach to automated aspect mining analysis aiming at finding cross-cutting concerns that can be easily refactored to aspect-oriented artifacts.

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تاریخ انتشار 2005