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Towards an Effective Analysis Pattern Retrieval

  • Maria João Ferreira
  • Pericles Loucopoulos
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 732)

Abstract

Since the introduction of patterns in Computer Science, a large number of libraries of patterns for different domains have been identified. In most cases these patterns are represented in a ‘flat’ fashion making their use difficult especially when there is a large number of patterns to consider in a particular application. In this paper we propose an analysis pattern retrieval (APR) approach under a classification schema in order to enable the automatic re-use of analysis patterns. The proposed classification scheme associates a problem to a set of pre-defined terms whereas the retrieval approach based on a Boolean model provides the necessary support to help a designer to locate and select analysis patterns that better solve the conceptual problem that he has in hands. An APR approach under a classification schema has the potential to make large analysis patterns collections easier to use and understand.

Keywords

Business Process Classification Scheme Analysis Pattern Conjunctive Normal Form Information Retrieval System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Alexander, C., Ishikawa, S., Silverstein, M., Jacobson, M., Fiksdahl-King, I., Angel, S.: A Pattern Language. Oxford University Press, New York (1977)Google Scholar
  2. 2.
    Constantopoulos, P., Pataki, A.: A Browser for Software Reuse. 4th International Conference on Advanced Information Systems Engineering — CAiSE′92, Manchester, UK, May (1992)Google Scholar
  3. 3.
    Constantopoulos, P., Jarke, M., Mylopoulos, J., Vassiliou, Y.: The Software Information Base: A Server for Reuse. VLDB Journal, Vol. 4 (1995)Google Scholar
  4. 4.
    Constantopoulos, P., Doerr, M.: Component Classification in the Software Information Base. Web publication, http://www.ice.forth/proj/isst/Publications/BookChapters.html (1995)
  5. 5.
    Date, C.J.: An Introduction to Database Systems. Addison-Wesley, USA (1994)Google Scholar
  6. 6.
    Davenport, T.H.: Process Innovation. Harvard Business School Press, Boston, MA (1993)Google Scholar
  7. 7.
    Fowler, M.: Analysis Patterns: Reusable Objects Models. Addison-Wesley, USA (1997)Google Scholar
  8. 8.
    Frakes, W.B., Pole, T.P.: An Empirical Study of Representation Methods for Reusable Software Components. IEEE Transactions on Software Engineering, Vol. 20 (1994) 617-630CrossRefGoogle Scholar
  9. 9.
    Frakes, W.B., Prietro-Diaz, R., Fox, C.: DARE — Domain Analysis and Reuse Environment. WIRS 7, Illinois, USA (1995)Google Scholar
  10. 10.
    Garofalakis, M.N., Miller, R.J.: Very large Databases. Wiley Encyclopedia and Electronics Engineering, Vol. 23. John Wiley & Sons, Inc., USA (1999)Google Scholar
  11. 11.
    Gersting, J.L.: Mathematical Structures for Computer Science. W. H. Freeman and Company, New York, USA (1993)Google Scholar
  12. 12.
    Grosz, G., Rolland, C.: Using the EKD Approach: Modelling the ESI Generic Patterns, Paris 1 — Sorbonne. Research Report (ELEKTRA Project), ELEKTRA/ WP5/T5.1/ Paris 1/ 1, November (1997)Google Scholar
  13. 13.
    Grosz, G., Semmak, F., Brash, D., Prekas, N.: Domain Patterns for Constructing Conceptual Specifications. Submitted for publication (1999)Google Scholar
  14. 14.
    Grosz, G., Loucopoulos, P., Rolland, C., Nurcan, S.: A Framework for Generic Patterns Dedicated to the Management of Change in the Electricity Supply Industry. 9th International DEXA Conference (DEXA98), Vienna, Austria (1998)Google Scholar
  15. 15.
    Karlsson, E.A.: Software Reuse — A Holistic Approach. John Wiley Sons, Ltd., England (1996)Google Scholar
  16. 16.
    Kueng, P.: Process Models: A Help or a Burden?. Americas Conference for Information System, AIS′97, Indianapolis, USA (1997)Google Scholar
  17. 17.
    Loucopoulos, P.: The Generic Pattern Model. UMIST, Research Report (ELEKTRA project), ELEKTRA/WP5/T5.1/UMIST/1, December (1997)Google Scholar
  18. 18.
    Loucopoulos, P., Kavakli, V., Prekas, N., Rolland, C., Grosz, G., Nurcan, S.: Using the EKD Approach: The Modelling Component. UMIST, Research Report (ELEKTRA project), ELEKTRA/WP2/T2.1/UMIST/3, March (1997)Google Scholar
  19. 19.
    Miller, G.A., Beckwith, R., Fellbann, C., Gross, D., Millu, K.: Five Papers on Word-Net. CLS Report 43, Cognitive Science Laboratory, Princeton University (1990)Google Scholar
  20. 20.
    Morel, J.M.: The REBOOT Environment. Web publication, ftp://ftp.idt.uni.no.pub/reboot.(1993)
  21. 21.
    O’Brien, J.A.: Introduction to Information Systems — Essentials for the Internetworking. Irvin/McGraw-Hill, USA (2000)Google Scholar
  22. 22.
    Ould, M.: Business Processes — Modelling and Analysis for Re-engineering and Improvement. John Wiley Sons, England (1995)Google Scholar
  23. 23.
    Polin, J.S., Werkman, K.R.: Software Reuse Libraries with Mosaic. Web publication, http://www.nessa.uiuc.edu/SDG/IT94/Proceedings/Dday/werkman/www94.html (1994)
  24. 24.
    Prekas, N., Loucopoulos, P., Rolland, C., Grosz, G., Semmak, F., Brash, D.: Developing Patterns as a Mechanism for Assisting the Management of Knowledge in the Context of Conducting Organisational Change. 10th International Conference & Workshop on Database and Expert Systems Applications (DEXA 99), Florence, Italy (1999)Google Scholar
  25. 25.
    Prieto-Diaz, R.: Implementing Faceted Classification for Software Reuse. CACM, Vol. 34, (1991) 88–97Google Scholar
  26. 26.
    Prieto-Diaz, R., Freeman, P.: Classifying Software for Reusability. IEEE Software, Vol. 4 (1987) 6–16CrossRefGoogle Scholar
  27. 27.
    Ranganathan, S.R.: Prolegomena to Library Classification. Bombay: Asia Publishing House (1967)Google Scholar
  28. 28.
    Rijsbergen, J.C.: Information Retrieval. 2nd edn., Butterworths (1979)Google Scholar
  29. 29.
    Rolland, C., Grosz, G., Loucopoulos, P., Nurcan, S.: A Framework for Encapsulating Best Business Practices for Electricity Supply Industry into Generic Patterns. 2nd IMACS, Hellenic Naval Academy, Athens, Greece (1998)Google Scholar
  30. 30.
    Rolland, C., Stirna, J., Prekas, N., Loucopoulos, P., Persson, A., Grosz, G.: Evaluating a Pattern Approach as an Aid for the Development of Organisational Knowledge: An Empirical Study. CAiSE 2000, Sweden (2000)Google Scholar
  31. 31.
    Salton, G., McGill, M.J.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)MATHGoogle Scholar
  32. 32.
    Schmidt, D.C.: Why Software Reuse Has Failed and How to Make It Work for You. C++ Report magazine, January (1999)Google Scholar
  33. 33.
    Yates, R.B., Neto, B.R.: Modern Information Retrieval. Addison Wesley, USA (1999)Google Scholar

Copyright information

© Springer Science+Business Media New York 2003

Authors and Affiliations

  • Maria João Ferreira
    • 1
  • Pericles Loucopoulos
    • 2
  1. 1.Departamento de InformáticaUniversidade PortucalensePortoPortugal
  2. 2.Department of ComputationUMISTManchesterUK

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