We investigate Jacobs and Langen's Sharing domain, introduced for the analy
sis of variable sharing in logic programs, and show that it is isomorphic t
o Marriott and Sondergaard's Pos domain, introduced for the analysis of gro
undness dependencies. Our key idea is to view the sets of variables in a Sh
aring domain element as the models of a corresponding Boolean function. Thi
s leads to a recasting of sharing analysis in terms of the property of "not
being affected by the binding of a single variable." Such an "unaffectedne
ss dependency" analysis has close connections with groundness dependency an
alysis using positive Boolean functions. This new view improves our underst
anding of sharing analysis, and leads to an elegant expression of its combi
nation with groundness dependency analysis based on the reduced product of
Sharing and Pos. It also opens up new avenues for the efficient implementat
ion of sharing analysis, for example using reduced order binary decision di
agrams, as well as efficient implementation of the reduced product, using d
omain factorizations.