Issue No. 10 - October (1985 vol. 11)
A.H. Konstam , Department of Computing and Information Sciences, Trinity University
Previous attempts to apply Halstead's software metrics to APL have led to inconsistent and counter-intuitive results. This work is a further investigation into the application of software metrics to APL to try to resolve some of the inconsistency. The effect of variations in the counting rules on values calculated for the software metrics was studied. These rules were used to analyze a set of programs from a previous study. In addition, a large number of APL programs from a university environment were analyzed. Evidence is presented that verifies that APL has a higher language level than any other common programming language previously studied. Counting monadic and dyadic uses of the same APL symbol as an instance of a different operator was found to have a significant effect on the language level calculated for APL. However, decomposing derived APL functions into separate operators did not seem to have a significant effect on language level.
software science, APL, language level, software metrics
D. Wood and A. Konstam, "Software Science Applied to APL," in IEEE Transactions on Software Engineering, vol. 11, no. , pp. 994-1000, 1985.