A general framework to detect behavioral design patterns

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Abstract

This paper presents a general framework to detect behavioral design patterns by combining source code and execution data. The framework has been instantiated for the observer, state and strategy patterns to demonstrate its applicability. By experimental evaluation, we show that our combined approach can guarantee a higher precision and recall than purely static approaches. In addition, our approach can discover all missing roles and return complete pattern instances that cannot be supported by existing approaches.

Original languageEnglish
Title of host publicationProceedings - International Conference on Software Engineering
PublisherIEEE Computer Society
Pages234-235
Number of pages2
ISBN (Electronic)9781450356633
DOIs
Publication statusPublished - 27 May 2018
Event40th International Conference on Software Engineering (ICSE 2018) - Gothenburg, Sweden
Duration: 27 May 20183 Jun 2018
Conference number: 40
https://www.icse2018.org/home

Conference

Conference40th International Conference on Software Engineering (ICSE 2018)
Abbreviated titleICSE 2018
CountrySweden
CityGothenburg
Period27/05/183/06/18
Internet address

Keywords

  • behavioral design pattern
  • discovery and detection
  • general framework
  • pattern instance invocation
  • Behavioral Design Pattern
  • General Framework
  • Pattern Instance Invocation
  • Discovery and Detection

Cite this

Liu, C., van Dongen, B., Assy, N., & van der Aalst, W. M. P. (2018). A general framework to detect behavioral design patterns. In Proceedings - International Conference on Software Engineering (pp. 234-235). IEEE Computer Society. https://doi.org/10.1145/3183440.3194947