Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Aspect Mining Using Event Traces
Proceedings of the 19th IEEE international conference on Automated software engineering
A Classification of Crosscutting Concerns
ICSM '05 Proceedings of the 21st IEEE International Conference on Software Maintenance
Mining eclipse for cross-cutting concerns
Proceedings of the 2006 international workshop on Mining software repositories
Mining Aspects from Version History
ASE '06 Proceedings of the 21st IEEE/ACM International Conference on Automated Software Engineering
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
Identifying cross-cutting concerns using software repository mining
Proceedings of the Joint ERCIM Workshop on Software Evolution (EVOL) and International Workshop on Principles of Software Evolution (IWPSE)
Hi-index | 0.00 |
As programs evolve, newly added functionality sometimes no longer aligns with the original design, ending up scattered across the software system. Aspect mining tries to identify such cross-cutting concerns in a program to support maintenance, or as a first step towards an aspect-oriented program. Previous approaches to aspect mining applied static or dynamic program analysis techniques to a single version of a system. We exploit all versions from a system's CVS history to mine aspect candidates; we are about to extend our research prototype to an Eclipse plug-in called HAM: when a single CVS commit adds calls to the same (small) set of methods in many unrelated locations, these method calls are likely to be cross-cutting. HAM employs formal concept analysis to identify aspect candidates. Analysing one commit operation at a time makes the approach scale to industrial-sized programs. In an evaluation we mined cross-cutting concerns from Eclipse 3.2M3 and found that up to 90% of the top-10 aspect candidates are truly cross-cutting concerns.