z-logo
open-access-imgOpen Access
SourceViz: A Tool for Supporting Software Metrics Visualization
Author(s) -
Muhammad Ilyas,
Hafiz Anas Bilal,
Qandeel Tariq,
Saba Awan
Publication year - 2017
Publication title -
international journal of information engineering and electronic business
Language(s) - English
Resource type - Journals
eISSN - 2074-9023
pISSN - 2074-9031
DOI - 10.5815/ijieeb.2017.03.03
Subject(s) - computer science , software visualization , visualization , static program analysis , software , software engineering , class (philosophy) , source code , software construction , software analytics , software metric , software system , code (set theory) , software development , software framework , task (project management) , programming language , data mining , artificial intelligence , systems engineering , set (abstract data type) , engineering
Maintaining and understanding large software systems is a complex and time consuming process. Understanding the internal structure of such systems is not an easy task due to the invisible nature of software. Source Code Visualization, i.e. measuring the code metrics and then visualizing them, provides an efficient solution to this problem. There are many tools available which gives an insight to the internal structure of the software. But all of them don‟t provide visualizations of hierarchical relationships and code complexity of the source code. In this paper, we present a tool named “SourceViz”. This application computes different software metrics, code complexity, class-relations and then visualizes the calculated metrics in different metaphors. This visual analysis assists the project managers and software developers in understanding the static structure of the software by presenting project-level as well as class-level view.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom