The influence of cyclomatic complexity distribution on the understandability of xtUML models

The influence of cyclomatic complexity distribution on the understandability of xtUML models Executable software models formalize functional software requirements. This means that the understandability of software models is of paramount importance. In this paper, we investigate the influence of cyclomatic complexity on the understandability of executable translatable unified modeling language (xtUML) models. We adapt traditional cyclomatic complexity metrics to different xtUML sub-models and present two different ways of measuring complexity distribution: horizontal, among elements of the same type, and vertical, among elements of different types. In order to test our hypothesis that cyclomatic complexity distribution influences the understandability of xtUML models, we have performed an experiment with student participants in which we have evaluated the understandability of three semantically equivalent xtUML models with different complexity distributions. Results indicate that a better distribution of cyclomatic complexity has a positive influence on model understandability. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Software Quality Journal Springer Journals

The influence of cyclomatic complexity distribution on the understandability of xtUML models

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Publisher
Springer US
Copyright
Copyright © 2016 by Springer Science+Business Media New York
Subject
Computer Science; Software Engineering/Programming and Operating Systems; Programming Languages, Compilers, Interpreters; Data Structures, Cryptology and Information Theory; Operating Systems
ISSN
0963-9314
eISSN
1573-1367
D.O.I.
10.1007/s11219-016-9351-5
Publisher site
See Article on Publisher Site

Abstract

Executable software models formalize functional software requirements. This means that the understandability of software models is of paramount importance. In this paper, we investigate the influence of cyclomatic complexity on the understandability of executable translatable unified modeling language (xtUML) models. We adapt traditional cyclomatic complexity metrics to different xtUML sub-models and present two different ways of measuring complexity distribution: horizontal, among elements of the same type, and vertical, among elements of different types. In order to test our hypothesis that cyclomatic complexity distribution influences the understandability of xtUML models, we have performed an experiment with student participants in which we have evaluated the understandability of three semantically equivalent xtUML models with different complexity distributions. Results indicate that a better distribution of cyclomatic complexity has a positive influence on model understandability.

Journal

Software Quality JournalSpringer Journals

Published: Dec 28, 2016

References

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