@article{MAKHILLJEAS201914217371,
    title = {A Program Visualization Method for Large Scale Software},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {2},
    pages = {648-657},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.648.657},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.648.657},
    author = {Joonseon,Seungcheol,Hyung Joon and},
    keywords = {Program visualization,static analysis,program browsing,vulnerability analysis,data flow analysis,control flow analysis},
    abstract = {Program visualization supports program comprehension by providing software properties in
visualized forms. We introduce and analyze current representative visualization tools from the viewpoint of
effective visualization of semantic properties for large-scale software. Then, we present the design and
implementation of our visualization tool that helps users understand the relationship among modules of a
program at various levels from program statements to packages. The tool has several features to overcome
visual complexities of large software such as limitation of displayed nodes and auxiliary table. The tool stores
underlying data structures in a graph database and handles concurrency and scalability effectively. We also
explain the implementation of our tool and provide experimental results.}
    }