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Problems in Evaluating the Complexity of Programs
Discussion about Software Measurement and Measures
8 other sections not shown
add a node add an edge ALPHA arbitrary location arithmetic mean atomic modifications M1 Author axiom of associativity axiom of monotonicity Belady binary operation BALT binary operations BSEQ BLA-H BLA-W Blaschek BSEQ and BALT completely described CPIWO cyclomatic complexity D-Structures DEC PRIMES decision nodes Definition DMAX dominance tree DTOT edge Statement EJ-ISC example shows Extensive Structure Figure flowgraph P1 GRAPH H-RED Harrison and Magel Hecht Howatt and Baker IDSL loops MCC-D MCC-V-Q Measure CSG Measure is completely Measure MCC-V Measure NL Measure of McCabe Measure PATH Measure PEN Measure PIWO Measure SCOPE MEASURE(S measurement theory MEASURES BASED MEDG MWD-MH N-MCCABE N-REACH N-SCOPE nested primes nesting level number of nodes ordinal scale PADD partial properties Piwowarski PNST PRATH-E Range(p ranges ratio scale RNST SBSM-P SCOPE-D SCOPE-NL software complexity measures software measurement Software Metrics trivial prime UNST UNSTR UNSTRUCT unstructured flowgraphs UODD VINAP-PD VINAP-SUM Zuse