Work place: Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan
E-mail: bad_e_saba123@yahoo.com
Website:
Research Interests: Computational Science and Engineering, Artificial Intelligence, Computational Learning Theory, Image Compression, Image Manipulation, Image Processing, Data Structures and Algorithms
Biography
Saba Ameer Awan is a citizen of Sargodha, Pakistan. She is a student of masters in computer science at the Department of Computer Science, COMSATS Institute of Information and Technology, Islamabad, Pakistan.
Her area of research include machine learning, digital image processing, artificial intelligence and algorithms.
By Muhammad Ilyas Hafiz Anas Bilal Qandeel Tariq Saba Ameer Awan
DOI: https://doi.org/10.5815/ijieeb.2017.03.03, Pub. Date: 8 May 2017
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.
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