Identifying Aspects Using Fan-In Analysis

  • Authors:
  • Marius Marin;Arie van Deursen;Leon Moonen

  • Affiliations:
  • Delft University of Technology;CWI and Delft University of Technology;Delft University of Technology and CWI

  • Venue:
  • WCRE '04 Proceedings of the 11th Working Conference on Reverse Engineering
  • Year:
  • 2004

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Abstract

The issues of code scattering and tangling, thus of achieving a better modularity for a systemýs concerns, are addressed by the paradigm of aspect orientation. Aspect mining is a reverse engineering process that aims at finding crosscutting concerns in existing systems. This paper describes a technique based on determining methods that are called from many different places (and hence have a high fan-in) to identify candidate aspects in a number of open-source Java systems. The most interesting aspects identified are discussed in detail, which includes several concerns not previously discussed in the aspect-oriented literature. The results show that a significant number of aspects can be recognized using fan-in analysis, and that the technique is suitable for a high degree of automation.