Evaluating alternative solutions for service compositions is done by various properties, each requiring an associated evaluation measure. In this paper, we propose a new measure, namely integration effort, to capture the expected effort a human programmer is expected to invest in integrating composed services into a functioning process. We present several integration effort evaluation measures, which were adapted from the related research areas of schema and ontology matching. These measures are embedded in an extendible framework, allowing application in different levels of refinement. Our measures are empirically validated to be effective proxies of integration effort.
|Title of host publication||Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014|
|Editors||Elena Ferrari, Ravindran Kaliappa, Patrick C.K. Hung|
|Number of pages||8|
|Publisher||IEEE Signal Processing Society|
|Publication date||17 Oct 2014|
|Publication status||Published - 17 Oct 2014|
|Event||11th IEEE International Conference on Services Computing, SCC 2014 - Anchorage, United States|
Duration: 27 Jun 2014 → 2 Jul 2014
|Conference||11th IEEE International Conference on Services Computing, SCC 2014|
|Period||27/06/2014 → 02/07/2014|
|Series||Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014|
Bibliographical notePublisher Copyright:
© 2014 IEEE.
- Semantic web
- Service composition