Mining service abstractions (NIER track)

Dionysis Athanasopoulos*, Apostolos V. Zarras, Panos Vassiliadis, Valerie Issarny

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Several lines of research rely on the concept of service abstractions to enable the organization, the composition and the adaptation of services. However, what is still missing, is a systematic approach for extracting service abstractions out of the vast amount of services that are available all over the Web. To deal with this issue, we propose an approach for mining service abstractions, based on an agglomerative clustering algorithm. Our experimental findings suggest that the approach is promising and can serve as a basis for future research.

Original languageEnglish
Title of host publicationICSE 2011 - 33rd International Conference on Software Engineering, Proceedings of the Conference
Pages944-947
Number of pages4
DOIs
Publication statusPublished - 07 Jul 2011
Externally publishedYes
Event33rd International Conference on Software Engineering, ICSE 2011 - Waikiki, Honolulu, HI, United States
Duration: 21 May 201128 May 2011

Conference

Conference33rd International Conference on Software Engineering, ICSE 2011
CountryUnited States
CityWaikiki, Honolulu, HI
Period21/05/201128/05/2011

Keywords

  • abstraction recovery
  • agglomerative clustering
  • services

ASJC Scopus subject areas

  • Software

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