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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Reverse Engineering State and Strategy Design Patterns using Static Code Analysis

Author 1: Khaled Abdelsalam Mohamed Author 2: Amr Kamel
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 1 · Published 2018 · Cited by 6

DOI: https://doi.org/10.14569/IJACSA.2018.090178

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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

How to Cite this Article

Mohamed, K. A., & Kamel, A. (2018). Reverse Engineering State and Strategy Design Patterns using Static Code Analysis. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090178

Mohamed, Khaled Abdelsalam, and Amr Kamel. "Reverse Engineering State and Strategy Design Patterns using Static Code Analysis." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://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},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Khaled Abdelsalam Mohamed and Amr Kamel},
  doi       = {10.14569/IJACSA.2018.090178},
  url       = {https://doi.org/10.14569/IJACSA.2018.090178}
}

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