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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.