Authenticate program complexity metrics using RAA

Abstract

Complexity affects the productivity in the defined procedure to reduce the complexity of programs the various techniques have been analyzed. Complexity measure identifies the complex and error-prone area of code segment. It is based on indentation, naming convention, number of IFs, WHILEs, FORs the number of ANDs, ORs and NOTs in the code. Software metrics plays an important role in the software evaluation. In this work the adequacy of software metrics is validated by the proposed rule accuracy algorithm which is based on rule induction technique. In the context of predefined rules the efficiency and effectiveness of software metrics is also analyzed. The rules contain if and then clause which hold metrics excellence criterion. Information flow metrics used as data set for the adequacy evaluation. The evaluation processed with flexible outcome and it proves the Rule Accuracy Algorithm is an efficient validation technique. © 2011 Springer-Verlag.