Miranda: a non-strict functional language with polymorphic types
Proc. of a conference on Functional programming languages and computer architecture
A standard for a graph representation for functional programs
ACM SIGPLAN Notices
Measuring software design quality
Measuring software design quality
Software complexity: measures and methods
Software complexity: measures and methods
Software Metrics: A Rigorous Approach
Software Metrics: A Rigorous Approach
Software Engineering Economics
Software Engineering Economics
Elements of Software Science (Operating and programming systems series)
Elements of Software Science (Operating and programming systems series)
The ICON Programming Language, 2nd Ed.
The ICON Programming Language, 2nd Ed.
Controlling Software Projects: Management, Measurement, and Estimates
Controlling Software Projects: Management, Measurement, and Estimates
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This paper describes the situation in the use of software metrics for the development of software. Today many basic metrics - including code metrics - are applied in very different tools for the development of software. But the user is not sure to obtain the correct instructions for the most efficient implementation in the sense of the lowest psychological complexity. The application of the classical code metrics (Halstead's software science and McCabe's cyclomatic number) is not possible for all languages.Therefore it is necessary that the compiler writer or the compiler writing systems includes the meaningful code metrics in the process of the compiler construction. The compiler writer must know this metrics for "his" language.This paper gives some directions for the derivation of code metrics for different languages and their use as metric based software tools.