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  • Shahbazi Z, Rasoolzadegan A, Purfallah Z and Jafari Horestani S. (2022). A new method for detecting various variants of GoF design patterns using conceptual signatures. Software Quality Journal. 30:3. (651-686). Online publication date: 1-Sep-2022.

    https://doi.org/10.1007/s11219-021-09576-9

  • Ardimento P, Aversano L, Bernardi M and Cimitile M. Design patterns mining using neural sub-graph matching. Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. (1545-1553).

    https://doi.org/10.1145/3477314.3507073

  • Raibulet C, Arcelli Fontana F and Carettoni S. (2020). A preliminary analysis of self-adaptive systems according to different issues. Software Quality Journal. 28:3. (1213-1243). Online publication date: 1-Sep-2020.

    https://doi.org/10.1007/s11219-020-09502-5

  • Yang S and Tzerpos V. A model for analysis and presentation of design pattern detection results. Proceedings of the 33rd Annual ACM Symposium on Applied Computing. (1500-1509).

    https://doi.org/10.1145/3167132.3167292

  • Bafandeh Mayvan B and Rasoolzadegan A. (2017). Design pattern detection based on the graph theory. Knowledge-Based Systems. 120:C. (211-225). Online publication date: 15-Mar-2017.

    https://doi.org/10.1016/j.knosys.2017.01.007

  • Khwaja S and Alshayeb M. (2016). Survey On Software Design-Pattern Specification Languages. ACM Computing Surveys. 49:1. (1-35). Online publication date: 28-Jul-2016.

    https://doi.org/10.1145/2926966

  • Rasool G and Arshad Z. (2015). A review of code smell mining techniques. Journal of Software: Evolution and Process. 27:11. (867-895). Online publication date: 1-Nov-2015.

    https://doi.org/10.1002/smr.1737

  • Stephan M and Cordy J. Identification of simulink model antipattern instances using model clone detection. Proceedings of the 18th International Conference on Model Driven Engineering Languages and Systems. (276-285).

    /doi/10.5555/3351736.3351770

  • Zanoni M, Arcelli Fontana F and Stella F. (2015). On applying machine learning techniques for design pattern detection. Journal of Systems and Software. 103:C. (102-117). Online publication date: 1-May-2015.

    https://doi.org/10.1016/j.jss.2015.01.037

  • Yu D, Zhang Y and Chen Z. (2015). A comprehensive approach to the recovery of design pattern instances based on sub-patterns and method signatures. Journal of Systems and Software. 103:C. (1-16). Online publication date: 1-May-2015.

    https://doi.org/10.1016/j.jss.2015.01.019

  • Chihada A, Jalili S, Hasheminejad S and Zangooei M. (2015). Source code and design conformance, design pattern detection from source code by classification approach. Applied Soft Computing. 26:C. (357-367). Online publication date: 1-Jan-2015.

    https://doi.org/10.1016/j.asoc.2014.10.027

  • Bernardi M, Cimitile M and Di Lucca G. (2014). Design pattern detection using a DSL-driven graph matching approach. Journal of Software: Evolution and Process. 26:12. (1233-1266). Online publication date: 1-Dec-2014.

    https://doi.org/10.1002/smr.1674

  • Mirakhorli M, Shin Y, Cleland-Huang J and Cinar M. A tactic-centric approach for automating traceability of quality concerns. Proceedings of the 34th International Conference on Software Engineering. (639-649).

    /doi/10.5555/2337223.2337298

  • Rasool G and Mader P. Flexible design pattern detection based on feature types. Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering. (243-252).

    https://doi.org/10.1109/ASE.2011.6100060