Automatic propagation of user inputs in service composition for end-users

Shaohua Wang, Bipin Upadhyaya, Ying Zou, Iman Keivanloo, Joanna Ng, Tinny Ng

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

6 Scopus citations

Abstract

End-users conduct various on-line activities. Quite often they re-visit websites and use services to perform repeated activities, such as on-line shopping. The end-users are required to enter the same information into various web services to accomplish such repeated tasks. Typing redundant information repetitively into such services negatively impacts the user experience. In this study, we propose an approach to prevent end-users from such unnecessary interruption. Our approach propagates user inputs across services by linking similar input and output parameters. Our approach also pre-fills values to the input parameters which could not be filled by the values from other input or output parameters. We propose a meta-data model for storing user inputs and an Input Parameter Context Model for identifying similar input or output parameters. We have implemented our approach and evaluated it on the real world services through an empirical study. Our overall approach can reduce on average 37% of input parameters through the execution of composed services.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE International Conference on Web Services, ICWS 2014
EditorsDavid De Roure, Bhavani Thuraisingham, Jia Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-80
Number of pages8
ISBN (Electronic)9781479950546
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 21st IEEE International Conference on Web Services, ICWS 2014 - Anchorage, United States
Duration: Jun 27 2014Jul 2 2014

Publication series

NameProceedings - 2014 IEEE International Conference on Web Services, ICWS 2014

Other

Other2014 21st IEEE International Conference on Web Services, ICWS 2014
Country/TerritoryUnited States
CityAnchorage
Period6/27/147/2/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Human-Computer Interaction
  • Software

Keywords

  • Information reuse
  • Input parameter pre-filling
  • Service composition

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