Comparing Static and Dynamic Weighted Software Coupling Metrics

Schnoor, Henning and Hasselbring, Wilhelm (2020) Comparing Static and Dynamic Weighted Software Coupling Metrics Computers, 9 (2). p. 24. DOI 10.3390/computers9020024.

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Abstract

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.

Document Type: Article
Keywords: Software Coupling
Research affiliation: Kiel University > Software Engineering
Refereed: Yes
DOI etc.: 10.3390/computers9020024
ISSN: 2073-431X
Related URLs:
Projects: Kieker
Date Deposited: 02 Apr 2020 07:48
Last Modified: 02 Apr 2020 08:52
URI: http://eprints.uni-kiel.de/id/eprint/49347

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