A pragmatic means for measuring the complexity of source code ensembles

Abstract

Most of the software metrics known and applied today are measured on a per file or even per function basis so that it is difficult to interpret their results for higher-order code ensembles such as components or whole systems. In order to overcome this weakness, we propose the hm-Index as a simple metric to condense the dependencies, i.e. the Fan-out, between source units in such code ensembles into a single number. As it is inspired by the h-Index in bibliometrics, it is based on a wellknown procedure that already had significant impact in a different field. We expect the hm-Index to become a simple metric for comparing the code complexity of different components or systems in software engineering and present promising preliminary results from real-world systems confirming our assumption in this paper.

Enhanced Re-Engineering Mechnanism to Improve the Efficiency of Software Re-Engineering

“…In few last years some of the framework for reengineering and risk management was developed, but only some of framework was able to recognize the factor of risk in the process of reengineering for successfully creating the risk solution of reengineering by system of software. The research work [18] has developed metrics framework for evaluation of the software system www.ijacsa.thesai.org legacy complexity for outsource support. Legacy system framework considers the two dimensions: source code and documentation.…”