The issues of code scattering and tangling, thus of achieving a better modularity for a system's 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. © 2004 IEEE.
CITATION STYLE
Marin, M., Van Deursen, A., & Moonen, L. (2004). Identifying aspects using fan-in analysis. In Proceedings - Working Conference on Reverse Engineering, WCRE (pp. 132–141). https://doi.org/10.1109/WCRE.2004.23
Mendeley helps you to discover research relevant for your work.