Measuring complexity in structured vs unstructured cobol programs

Abstract

Measuring programmer productivity and estimating programming time and costs are among the most worrisome and persistent problems facing the programming manager. A key element in both problem areas is program complexity. It has been demonstrated in practice that a measure of program complexity is an indispensable aid in evaluating a programming effort. The purpose of this paper is to present a prototype for a composite measure of program complexity. The paper presents a basis for a technique upon which an objective quantitative evaluation for any program or programming effort could be made. This index of complexity would give the manager a tool for a quantitative assessment of programming efforts so that judgments about the relative merits of programs and programmers can be based on objective data and an objective measure. The measure is applied against a reference group of COBOL programs, several of which were written in a structured programming environment. The index of complexity and the data from which it is derived are used to evaluate the complexity of structured vs unstructured COBOL programming styles.