Window Local Complexity Software Metrics
Date
1991-07
Authors
Simatovic, Boris
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Abstract
It has been established that in a typical software project over 50 percent of the time is spent locating and correcting errors, debugging the program. There are many factors that influence debugging time. Software metrics quantitatively characterize the essential features and objectively present models related to complexity of computer programs. Several models are presented that have been developed to characterize and improve the quality of a software product. A tool for measuring software complexity is developed. It is based on elements of Halstead's Software Science and uses window local complexity as a software product metric. Various local complexity metrics and relationships among them are examined, and correlation with testing effort is given. The results of an experiment to relate metrics to testing effort for a collection of Fortran programs are presented.
Description
Keywords
computer programs, debugging, FORTRAN
Citation
Simatovic, B. (1991). Window local complexity software metrics (Unpublished thesis). Southwest Texas State University, San Marcos, Texas.