APL and Halstead's theory of software metrics

Author:

De Kerf Joseph L.F.1

Affiliation:

1. Manager Scientific Computer Center, Research and Development Laboratories, Agfa-Gevaert N.V., Septestraat 27, B-2510 Mortsel (Belgium)

Abstract

The increasing complexity of computer programs and of the development of systems creates an ever growing need of objective methods for measuring the quality of software. A theory providing this measure to some extent has been developed in the last decade by M.H. Halstead. The only parameters in the developed formulae are the number of operators and the number of operands in the routines. Numerous statistical studies have shown a relatively good correlation between theory and experimental results. The theory is applied in this paper to a set of APL defined functions and the results are compared with those obtained by Halstead for other languages.

Publisher

Association for Computing Machinery (ACM)

Reference6 articles.

1. T. Gilb; Software Metrics; Winthrop Computer Systems Series; Winthrop Publishers Cambridge Massachusetts 1977. T. Gilb; Software Metrics; Winthrop Computer Systems Series; Winthrop Publishers Cambridge Massachusetts 1977.

2. M.H. Halstead; Elements of Software Science; Elsevier Computer Science Library; Elsevier North-Holland New York 1977. M.H. Halstead; Elements of Software Science; Elsevier Computer Science Library; Elsevier North-Holland New York 1977.

3. A Review and Evaluation of Software Science

4. Guest Editorial on Software Science

5. A.O. Allen; Probability Statistics and Queueing Theory - With Computer Science Applications; Computer Science and Applied Mathematics Series; Academic Press London and New York 1978. A.O. Allen; Probability Statistics and Queueing Theory - With Computer Science Applications; Computer Science and Applied Mathematics Series; Academic Press London and New York 1978.

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