| dc.description.abstract | Over the past 10 to 15 years, several studies showing relationships among static complexity metrics have been performed. These include the number of lines of code, McCabe's cyclomatic complexity, Halstead's Software Science metrics, control flow metrics, and information flow metrics. Other studies have examined the relationships between static metrics and effort, clarity, productivity, quality, faults, and reliability. However, there have been very few studies that explore the relationship between static complexity metrics and dynamic measurements of programs. This exploratory, empirical study examines this relationship. The issues considered in this work include data collection procedures, the development of a counting strategy, the analysis of the static and dynamic measurements collected, and the examination of the significance between pairs of these measurements. A goal is to arrive at possible hypotheses to be tested in future, more extensive, controlled experiments. The results of this study show that there are significant correlations between some of the static and dynamic measurements. | |
