Optimal Approach to Compute Metrics for Structural and Behavioural Diagrams of UML using Program Slicing Techniques

Abstract

We have purposed an optimal approach for computing the various complexity metrics for different UML diagrams by using the program slicing techniques. Firstly, we draw the UML diagrams in Argo UML software then XML file is generated then by using the SD Metrics Tool different parameters were calculated automatically. The dependency graph is drawn then the slicing criteria is adopted by using our purposed algorithm then complexity metrics were calculated. After applying the program slicing techniques the complexity of any diagram will be decreased and will easier for testability, maintainability, readability, and modularity.