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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Reverse Engineering State and Strategy Design Patterns using Static Code Analysis
Digital Object Identifier (DOI) : 10.14569/IJACSA.2018.090178
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 1, 2018.
Abstract: This paper presents an approach to detect behavioral design patterns from source code using static analysis techniques. It depends on the concept of Code Property Graph and enriching graph with relationships and properties specific to Design Patterns, to simplify the process of Design Pattern detection. This approach used NoSQL graph database (Neo4j) and uses graph traversal language (Gremlin) for doing graph matching. Our approach, converts the tasks of design pattern detection to a graph matching task by representing Design Patterns in form of graph queries and running it on graph database.
Keywords: Reverse engineering; source code analysis; design patterns; static analysis; graph matching; Gremlin; Joern; Neo4j
Khaled Abdelsalam Mohamed and Amr Kamel, “Reverse Engineering State and Strategy Design Patterns using Static Code Analysis” International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090178
@article{Mohamed2018,
title = {Reverse Engineering State and Strategy Design Patterns using Static Code Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090178},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090178},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {1},
author = {Khaled Abdelsalam Mohamed and Amr Kamel}
}
