Skip to main content

Discrete Sequences Analysis for Detecting Software Design Patterns

  • Conference paper
  • 1066 Accesses

Part of the Lecture Notes in Computer Science book series (LNISA,volume 7547)

Abstract

A design pattern names, abstracts and identifies the key aspects of a common design structure that make it useful for creating a reusable object-oriented design. Designers with little or no experience in this area are forced to read long catalogs of patterns to acquire this knowledge, missing the learning that is only obtained from practice. In this paper we propose to analyze the sequence of actions needed to be executed in a CASE tool in order to model different design patterns. The purpose of this analysis is to create a model that can be used by an interface agent to detect the design pattern an inexperienced user is trying to create in the tool and to assist him/her in this procedure.

Keywords

  • Interface Agents
  • Design Patterns
  • Discrete Sequence Analysis

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   54.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   72.00
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Armentano, M., Amandi, A.: Modeling sequences of user actions for statistical goal recognition. User Modeling and User Adapted Interaction 22(3), 281–311 (2012)

    CrossRef  Google Scholar 

  2. Berdún, L., Díaz-Pace, J.A., Amandi, A., Campo, M.: Assisting novice software designers by an expert designer agent. Expert Syst. Appl. 34(4), 2772–2782 (2008)

    CrossRef  Google Scholar 

  3. Blaylock, N., Allen, J.: Generating Artificial Corpora for Plan Recognition. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS (LNAI), vol. 3538, pp. 179–188. Springer, Heidelberg (2005)

    CrossRef  Google Scholar 

  4. Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design patterns, elements of reusable object-oriented software. Addison-Wesley, New York (1994)

    Google Scholar 

  5. Florijn, G., Meijers, M., van Winsen, P.: Tool Support for Object-Oriented Patterns. In: Aksit, M., Auletta, V. (eds.) ECOOP 1997. LNCS, vol. 1241, pp. 472–495. Springer, Heidelberg (1997)

    CrossRef  Google Scholar 

  6. Hautamäki, J.: Pattern-based tool support for frameworks: Towards architecture-oriented software development environment. Ph.D. Thesis (2005)

    Google Scholar 

  7. Hunter, J.: The exponentially weighted moving average. Journal of Quality Technology 18(4), 203–209 (1986)

    Google Scholar 

  8. Berdun, L., Amandi, A.: Planning para agentes inteligentes. In: Proceedings del 7º Simposio Argentino de Inteligencia Artificial, ASAI 2005, Rosario, Argentina, pp. 12–23 (2005) (in Spanish)

    Google Scholar 

  9. Maes, P.: Agents that reduce work and information overload. Communications of the ACM 37(7), 31–40 (1994)

    CrossRef  Google Scholar 

  10. Meijler, T., Demeyer, S., Engel, R.: Making design patterns explicit in face: a frame work adaptive composition environment. SIGSOFT Softw. Eng. Notes 22, 94–110 (1997)

    CrossRef  Google Scholar 

  11. Nau, D., et al.: Shop2: An Htn Planning System. J. Artif. Intell. Res. (JAIR) 20, 379–404 (2003)

    MATH  Google Scholar 

  12. Roberts, D., Brant, J., Johnson, R.: A refactoring tool for smalltalk. Theory and Practice of Object Systems 3(4), 253–263 (1997)

    CrossRef  Google Scholar 

  13. Ron, D., Singer, Y., Tishby, N.: The power of amnesia: Learning probabilistic automata with variable memory length. Machine Learning 25(2-3), 117–149 (1996)

    CrossRef  MATH  Google Scholar 

  14. Tokuda, L., Batory, D.: Evolving object-oriented designs with refactorings. Automated Software Engineering 8, 89–120 (2001)

    CrossRef  MATH  Google Scholar 

  15. Weld, D.: An Introduction to Least Commitment Planning. AI Magazine 15(4), 27–61 (1994)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Silva Logroño, J.F., Berdún, L., Armentano, M., Amandi, A. (2012). Discrete Sequences Analysis for Detecting Software Design Patterns. In: Cipolla-Ficarra, F., Veltman, K., Verber, D., Cipolla-Ficarra, M., Kammüller, F. (eds) Advances in New Technologies, Interactive Interfaces and Communicability. ADNTIIC 2011. Lecture Notes in Computer Science, vol 7547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34010-9_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-34010-9_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34009-3

  • Online ISBN: 978-3-642-34010-9

  • eBook Packages: Computer ScienceComputer Science (R0)