ACCD: an algorithm for comprehension-driven clustering

The software clustering literature contains many different approaches that attempt to automatically decompose software systems. These approaches commonly utilize criteria or measures based on principles such as high cohesion and low coupling, information hiding etc. We present an algorithm that subscribes to a philosophy targeted towards program comprehension and based on subsystem patterns. We discuss the algorithm's implementation and describe experiments that demonstrate its usefulness.