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Complexity measurement of a graphical programming language
Author(s) -
Henry Sallie,
Goff Roger
Publication year - 1989
Publication title -
software: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 70
eISSN - 1097-024X
pISSN - 0038-0644
DOI - 10.1002/spe.4380191105
Subject(s) - computer science , software metric , software construction , programming complexity , metric (unit) , software sizing , software measurement , software engineering , software , programming language , search based software engineering , software design , software development , theoretical computer science , engineering , operations management
For many years the software engineering community has been attacking the software reliability problem on two fronts. First via design methodologies, languages and tools as a pre‐check on complexity and secondly by measuring the complexity of produced software as a post‐check. This research attempts to unify the approach to creating reliable software by providing the ability to measure the complexity of a design prior to its implementation. We have successfully defined and applied software metrics to graphical designs in an effort to predict software complexity early in the software life cycle. Metric values from the graphical design are input to predictor equations, provided in this paper, to give metric values for the resultant source code.