Skip to main content

Component Retrieval Using a Synaptic Connectivity Matrix

  • Conference paper
Parallel and Distributed Computing: Applications and Technologies (PDCAT 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3320))

  • 1008 Accesses

Abstract

Efficient retrieval of software components is an essential aspect of component-based software development. Enhancing the retrieval of such components has been the focus of significant prior research. We propose a new component retrieval method using a synaptic connectivity matrix. This new method supports queries with logical operators, which are not supported by existing facet retrieval methods. We show that the search complexity is considerably reduced with our proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Guo, J., Luqi, R.: A survey of Software Reuse Repositories. In: Proceedings of the 7th IEEE Int. Conf. and W/S on the Eng. of Computer Based System, pp. 88–96 (2000)

    Google Scholar 

  2. Priesto-Diaz, R.: Implementing Faceted Classification for Software Reuse. CACM 34(5), 89–97 (1991)

    Google Scholar 

  3. Wang, Z.: Component-Based Software Engineering. In: Doctorial Dissertation, Department of Computer and Information Science, New Jersey Institute of Technology, Newark, New Jersey (2000)

    Google Scholar 

  4. Liao, H.-C., et al.: Using a Hierarchical Thesaurus for Classifying and Searching Software Libraries. In: Proc. of the COMPSAC 1997, pp. 210–216 (1997)

    Google Scholar 

  5. Kurfess, F.J.: Neural Networks and Structured Knowledge. Special Issue of Journal of Applied Intelligence 11(1), 135–146 (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Keum, Y.W., Park, B. (2004). Component Retrieval Using a Synaptic Connectivity Matrix. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_141

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30501-9_141

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24013-6

  • Online ISBN: 978-3-540-30501-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics