Sciweavers

Share
SEKE
1993
Springer

A Neural Net-Based Approach to Software Metrics

10 years 7 months ago
A Neural Net-Based Approach to Software Metrics
Software metrics provide effective methods for characterizing software. Metrics have traditionally been composed through the definition of an equation, but this approach is limited by the fact that all the interrelationships among all the parameters be fully understood. Derivation of a polynomial providing the desired characteristics is a substantial challenge. This paper explores an alternative, neural network approach to generating metrics. Experiments performed on two widely known metrics, McCabe and Halstead, indicate that the approach is sound, thus serving as the groundwork for further exploration into the analysis and design of software metrics.
Gary D. Boetticher, K. Srinivas, David Eichmann
Added 10 Aug 2010
Updated 10 Aug 2010
Type Conference
Year 1993
Where SEKE
Authors Gary D. Boetticher, K. Srinivas, David Eichmann
Comments (0)
books