a business process is decomposed into orderly steps
and then human resources are allocated to execute them.The process of resource allocation is constrained by access control and influenced by resource exceptions
so there exist the issues of satisfiability and robustness.Especially
the verification of its robustness relies on the judgment of its satisfiability
which is currently realized via finding one of the satisfiability solutions.This paper proposes another approach
in which the total number of all the solutions is counted to make a satisfiability judgment.Especially
the satisfiability counting under exclusion() and binding(=) constraints is reduced to the problem of #SAT with solvers available by a polynomial-time counting reduction.Experiments show that
compared to the existing lowest-time satisfiability solving algorithm
our satisfiability counting algorithm achieves remarkable improvement in judgment efficiency and applicable scale.