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What metrics are used for test report generation?

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What metrics are used for test report generation?

Metrics that can be used for test report generation include...
McCabe metrics: cyclomatic complexity metric (v(G)), actual complexity metric (AC), module design complexity metric (iv(G)), essential complexity metric (ev(G)), pathological complexity metric (pv(G)), design complexity metric (S0), integration complexity metric (S1), object integration complexity metric (OS1), global data complexity metric (gdv(G)), data complexity metric (DV), tested data complexity metric (TDV), data reference metric (DR), tested data reference metric (TDR), maintenance severity metric (maint_severity), data reference severity metric (DR_severity), data complexity severity metric (DV_severity), global data severity metric (gdv_severity).
McCabe object-oriented software metrics: encapsulation percent public data (PCTPUB), access to public data (PUBDATA), polymorphism percent of unoverloaded calls (PCTCALL), number of roots (ROOTCNT), fan-in (FANIN), quality maximum v(G) (MAXV), maximum ev(G) (MAXEV), and hierarchy quality (QUAL).
Other object-oriented software metrics: depth (DEPTH), lack of cohesion of methods (LOCM), number of children (NOC), response for a class (RFC), weighted methods per class (WMC), Halstead software metrics program length, program volume, program level and program difficulty, intelligent content, programming effort, error estimate, and programming time.
Line count software metrics: lines of code, lines of comment, lines of mixed code and comments, and lines left blank.

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