M. Mertik, M. Lenič, M. Zorman (Slovenia), and M.
Software, Reliability, Classifiers, Code metric, Data
Software development is a complex and
complicated process, which is nowadays maintained
trough different levels of the software lifecycle. During
every phase of the cycle there is a threat of "the faults
insertion phenomena", which is especially observed
during the coding level. It has been shown that the pattern
of "the faults insertion phenomena" can be dramatically
minimized with the use of software assessment metrics
that are related with measurable features of the code.
In this paper we introduce the research on the
extracted features of software reliability using dynamical
combination of classifiers implemented in a novel
Multimethod approach. We will present the results of
extracted features for the particular industrial software
environment based on the large database of modules in C
programming language and compare them with the
measurement of standard Halstead's and more modern
alpha metrics of complexity. At the end we will present
some related viewpoints and ideas for the future work.