Complexity estimation by using multiparadigm approach: a proposed metrics and algorithms

Abstract

The factors upsetting directness of a software code were calculated manually using traditional approach which is not suitable in these days. There are numerous software tools are available in the market but they are not reliable due to vast number of metrics are available and each and every metrics are not specific definitions. This paper investigated factors which are affecting for understanding the procedural and object oriented code and found that software metrics can be calculated by using the web-engineering technology especially multiparadigm language. The most important parts of this paper are propped algorithms for estimating an object-oriented metrics. The planned metrics were empirically authenticated in diverse paradigms. The exigent task of this paper is all about the evaluation strategy of an object-oriented metrics by using multiparadigm language (JavaScript). The proposed model is developed to analyse the CK metric suite. This model extracts the number of classes available in the Java Script programs. Basically this model works in two different phases. In first phase the parser is able to find and generate the full abstract syntax tree and second stage the identification of the classes and generated the metrics itself.