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A Structural Rule-Based Approach for Design Patterns Recovery

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Software Engineering Research, Management and Applications (SERA 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 722))

Abstract

Design patterns have a key role in the software development process. They describe both structure, behavior of classes and their relationships. Design patterns can improve software documentation, speed up the development process and enable large-scale reuse of software architectures. This paper presents a Multiple Levels Detection Approach (MLDA) to recover design pattern instances from Java source code. MLDA is able to extract design pattern instances based on a generated class level representation of an investigated system. Specifically, MLDA presents what is the so-called Structural Search Model (SSM) which incrementally builds the structure of each design pattern based on the generated source code model. Moreover, MLDA uses a rule-based approach to match the method signatures of the candidate design instances to that of the subject system. As the experiment results illustrate, MLDA is able to extract 23 design patterns with reasonable detection accuracy.

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Authors and Affiliations

  1. Department of Computing, University of Brighton, Brighton, UK

    Mohammed Ghazi Al-Obeidallah & Stelios Kapetanakis

  2. Department of Computing, Middlesex University, London, UK

    Miltos Petridis

Authors
  1. Mohammed Ghazi Al-Obeidallah
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  2. Miltos Petridis
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  3. Stelios Kapetanakis
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Corresponding author

Correspondence to Mohammed Ghazi Al-Obeidallah .

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Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, Michigan, USA

    Roger Lee

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Al-Obeidallah, M.G., Petridis, M., Kapetanakis, S. (2018). A Structural Rule-Based Approach for Design Patterns Recovery. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2017. Studies in Computational Intelligence, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-61388-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-61388-8_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61387-1

  • Online ISBN: 978-3-319-61388-8

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