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Detecting design patterns: a hybrid approach based on graph matching and static analysis

Author

Listed:
  • Jyoti Singh

    (Banaras Hindu University)

  • Sripriya Roy Chowdhuri

    (Banaras Hindu University)

  • Gosala Bethany

    (Banaras Hindu University)

  • Manjari Gupta

    (Banaras Hindu University)

Abstract

Knowledge and understanding about system design are very important for the development and maintenance of any software system due to certain deadlines and frequent changes in requirements and environment. However, it is a very difficult task to analyse design automatically. Design patterns give standard solutions to common design problems. It is very helpful to find existence of such patterns in the source code. It will reduce effort and time required in understanding and thus in the maintenance activity. In this paper we propose a tool DPDT for detecting design patterns from system software. We use graph matching process to find exact instances of design patterns mapped to system software. In graph matching structural aspects are considered. After that static facts of software systems and design patterns are used to reduce the number of false positives. We evaluate our result on two well-known open source software: JHotDraw and JUnit and compared the result of DPDT with existing tools (Sempatrec, DPF, SSA, DeMIMA, and Depatos) of design patterns detection. It is found that for proxy design patterns our tool out performs the all other tools. Further, for few design patterns it is giving moderate results while other tools did not consider those design patterns.

Suggested Citation

  • Jyoti Singh & Sripriya Roy Chowdhuri & Gosala Bethany & Manjari Gupta, 2022. "Detecting design patterns: a hybrid approach based on graph matching and static analysis," Information Technology and Management, Springer, vol. 23(3), pages 139-150, September.
    • Handle: RePEc:spr:infotm:v:23:y:2022:i:3:d:10.1007_s10799-021-00339-3
    DOI: 10.1007/s10799-021-00339-3
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    References listed on IDEAS

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    1. BLONDEL, Vincent D. & GAJARDO, Anahi & HYEMANS, Maureen & SENELLART, Pierre, 2004. "A measure of similarity between graph vertices: Applications to synonym extraction and web searching," LIDAM Reprints CORE 1798, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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