文章基本信息

标题：Comparing Static and Dynamic Weighted Software Coupling Metrics
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作者：Henning Schnoor ; Wilhelm Hasselbring
期刊名称：Computers
电子版ISSN：2073-431X
出版年度：2020
卷号：9
期号：2
DOI：10.3390/computers9020024
出版社：MDPI Publishing
摘要：Coupling metrics that count the number of inter-module connections in a software system are an established way to measure internal software quality with respect to modularity. In addition to static metrics, which are obtained from the source or compiled code of a program, dynamic metrics use runtime data gathered, e.g., by monitoring a system in production. Dynamic metrics have been used to improve the accuracy of static metrics for object-oriented software. We study weighted dynamic coupling that takes into account how often a connection (e.g., a method call) is executed during a system’s run. We investigate the correlation between dynamic weighted metrics and their static counterparts. To compare the different metrics, we use data collected from four different experiments, each monitoring production use of a commercial software system over a period of four weeks. We observe an unexpected level of correlation between the static and the weighted dynamic case as well as revealing differences between class- and package-level analyses..
关键词：software metrics; monitoring; dynamic;static analysis software metrics ; monitoring ; dynamic;static analysis