Pseudo dynamic metrics [software metrics]

Authors:
R. Gunnalan;M. Shereshevsky;H. H. Ammar
Affiliations:
Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA;Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA;Lane Dept. of Comput. Sci., West Virginia Univ., Morgantown, WV, USA
Venue:
AICCSA '05 Proceedings of the ACS/IEEE 2005 International Conference on Computer Systems and Applications
Year:
2005

Citing 0
Cited 2

A survey of dynamic software metrics

Journal of Computer Science and Technology
On the definition of dynamic software measures

Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement

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Abstract

Summary form only given. Software metrics have become an integral part of software development and are used during every phase of the software development life cycle. Research in the area of software metrics tends to focus predominantly on static metrics that are obtained by static analysis of the software artifact. But software quality attributes such as performance and reliability depend on the dynamic behavior of the software artifact. Estimating software quality attributes based on dynamic metrics for the software system are more accurate and realistic. The research presented in this paper attempts to narrow the gap between static metrics and dynamic metrics, and lay the foundation for a more systematic approach to estimate the dynamic behavior of a software system early in the software development cycle. Focusing on coupling metrics, we present an empirical study to analyze the relationship between static and dynamic coupling metrics and propose the concept of pseudo dynamic metrics to estimate the dynamic behavior early in the software development lifecycle.