Quantification Methods for Software Entity Complexity with Hybrid Metrics


The KIPS Transactions:PartD, Vol. 8, No. 3, pp. 233-240, Jun. 2001
10.3745/KIPSTD.2001.8.3.233,   PDF Download:

Abstract

As software technology is in progress and software quantification is getting more important, many metrics have been proposed to quantify a variety of system entities. These metrics can be classified into two different forms : scalar metric and metric vector. Though some recent studies pointed out the composition problem of the scalar metric form, many scalar metrics are successfully used in software development organizations due to their practical applications. In this paper, it is concluded that hybrid metric form weighting external complexity is most suitable for scalar metric form. With this concept, a general framework for hybrid metrics construction independent of the development methodologies and target system type is proposed. This framework was successfully used in two projects that quantify the analysis phase of the structured methodology and the design phase of the object oriented real-time system, respectively. Any organization can quantify system entities in a short time using this framework.


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Cite this article
[IEEE Style]
E. S. Hong and T. G. Kim, "Quantification Methods for Software Entity Complexity with Hybrid Metrics," The KIPS Transactions:PartD, vol. 8, no. 3, pp. 233-240, 2001. DOI: 10.3745/KIPSTD.2001.8.3.233.

[ACM Style]
Euy Seok Hong and Tae Guun Kim. 2001. Quantification Methods for Software Entity Complexity with Hybrid Metrics. The KIPS Transactions:PartD, 8, 3, (2001), 233-240. DOI: 10.3745/KIPSTD.2001.8.3.233.