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  1. Selected papers of the 1982 ACM SIGMETRICS workshop on Software Metrics (SCORE '82)
  2. Machine Instruction Count Program
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Performance evaluation through job scheduler modeling
Toward a parametric approach for modeling local area network performance
Score '82 - a summary (at IBM systems research institute, 3/23-3/24/82)
The new field of “Software Linguistics”: An early-bird view
Software Counting rules: Will history repeat itself?
Effect of declarations on software metrics: An experiment in software science
Machine Instruction Count Program
A unification of Halstead's Software Science counting rules for programs and English text, and a claim space approach to extensions
Distinguishing the potential operands in FORTRAN programs
On the effect of different counting rules for control flow operators on Software Science metrics in Fortran

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Source code (2011).

Machine Instruction Count Program

Content Provider ACM Digital Library
Author Gaffney, John E.
Abstract The Machine Instruction Count Program (MIC Program) was originally developed in 1978 to produce 'operator' and 'operand' counts of object programs written for the AN/UYK-7 military computer. In 1981, its capability was expanded so that it could apply to the AN/UYS-1 (or “Advanced Signal Processor”) military computer. The former machine, made by UNIVAC, hosts the IBM-developed software for the sonar and defensive weapons system/command system for the TRIDENT missile launching submarine and the software for the sonar for the new Los Angeles-class attack submarines. The second machine, made by IBM, is incorporated into several military systems including the LAMPS anti-submarine warfare system. The MIC program has been applied to collect a large amount of data about programs written for the AN/UYK-7 and AN/UYS-1 computers. From these data, various of the well-known software 'metrics'(1) such as 'volume', 'language level', and 'difficulty' have been calculated. Some of the results obtained have been reported in the literature (3,4). Probably, the most significant practical use of these data, so far, has been the development of formulas for use in the estimation of the amount of code to be written(2,5) as a function of measures of the requirements that they are to implement or the (top-level) design that they are to implement.
Starting Page 72
Ending Page 79
Page Count 8
File Format PDF
ISBN 089791077X
DOI 10.1145/800002.800507
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 1982-08-30
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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