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 crosscutting 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 t...