Crosscutting Concerns Identification Approach Based on the Sequence Diagram Analysis

  • Fairouz Dahi
  • Nora Bounour
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7602)


Existence of crosscutting concerns scattered or tangled in the source code complicates the software maintenance, evolution and reuse. To support the improved modularity of software systems, taking advantage of the benefits of aspect-oriented paradigm, several approaches aim to identify the crosscutting concerns, to allow their modeling in aspects.  In the absence of early detection of these crosscutting concerns, they tend to be overlooked and become closely linked, not allowing developers to identify optimal design.

We propose in this paper a new approach for identification of crosscutting concerns at the architectural level. The architectural model considered is represented by classes and sequence diagrams. The sequence diagram carries semantic information, which consists in interactions between objects of the software system, and the chronological order of execution of its tasks.


Aspect mining Early aspect Crosscutting concerns Message transmissions Reverse engineering Software architecture 


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  1. 1.
    Dahi, F., Bounour, N.: Etude critique des approches de découverte d’aspect à travers le cycle du développement de logiciels. In: The Second International Conference on Complex Systems, CISC 2011, Algeria, Jijel University (2011)Google Scholar
  2. 2.
    Dahi, F., Bounour, N.: Identification d’aspects par l’analyse des concepts formels. In: 1st International Conference on Information Systems and Technologies, ICIST 2011, Algeria, Tebessa University (2011)Google Scholar
  3. 3.
    Su, Y., Li, F., Hu, S., Chen, P.: Aspect-oriented software reverse engineering. Journal of Shanghai University 10(5) (2006)Google Scholar
  4. 4.
    Automated Drawing of UML Diagrams,
  5. 5.
  6. 6.
  7. 7.
    Siau, K., Cao, Q.: Unified Modeling Language: A Complexity Analysis. Journal of Database Management 12 (2001)Google Scholar
  8. 8.
    Mens, K., Kellens, A., Krinke, J.: Pitfalls in Aspect mining. In: Proceeding WCRE 2008 Proceedings of the15th Working Conference on Reverse Engineering (2008)Google Scholar
  9. 9.
    Moreira, A., Araújo, J.: The Need for Early Aspects. In: Fernandes, J.M., Lämmel, R., Visser, J., Saraiva, J. (eds.) GTTSE 2011. LNCS, vol. 6491, pp. 386–407. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Bernardi, M.L., Di Lucca, G.A.: Identifying the Crosscutting among Concerns by Methods’ Calls Analysis. In: Kim, T.-h., Adeli, H., Kim, H.-k., Kang, H.-j., Kim, K.J., Kiumi, A., Kang, B.-H. (eds.) ASEA 2011. CCIS, vol. 257, pp. 147–158. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  11. 11.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fairouz Dahi
    • 1
  • Nora Bounour
    • 1
  1. 1.LRI Laboratory, Department of Computer ScienceBadji Mokhtar – Annaba UniversityAnnabaAlgeria

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