Complexity Measure of Software Composition Framework

Abstract

This article proposes a pragmatic approach to software composition based on matching criteria by mimicking integrated hardware counterpart. The tangible value of consumer goods as described by Cox instills this logical derivation of the proposed approach. As software gradually matures in component form, various software compositions can be systematically assembled from related existing software. Two application software are composed based on their functionality matching. Their composition complexities are measured by function point. The total effort unveils a noteworthy finding that high complexity software demands larger effort to deploy. Thus, the proposed software composition framework not only offers the freedom of development mandates to the development team, but also broadens the horizon of cost and project evaluations by arriving at the proper mix of constituent components in the software product.

Research and design of program complexity measurement technology based on OINK framework

“…Program complexity measurement analysis technology belongs to the category of code static analysis, and the static analysis technology of foreign source code has reached the third generation [3]. For example, Klocwork Insight, a source code analysis tool belonging to Klocwork, is the first tool that allows developers to control the entire analysis process and benefit from the accuracy of centralized analysis.…”