Branching bisimilarity is a behavioural equivalence relation on labelled transition systems that takes internal actions into account. It has the traditional advantage that algorithms for branching bisimilarity are more efficient than all algorithms for other weak behavioural equivalences, especially weak bisimilarity. With m the number of transitions and n the number of states, the classic O(mn) algorithm has recently been replaced by an O(m log n) algorithm, which is unfortunately rather complex. This paper combines the ideas from Groote et al. with the ideas from Valmari. This results in a simpler O(m log n) algorithm. Benchmarks show that this new algorithm is faster and more memory efficient than all its predecessors.
|Number of pages||27|
|Publication status||Published - 24 Sep 2019|