Measuring expected integration effort in service composition

Tomer Sagi; Avigdor Gal; Matthias Weidlich

doi:10.1109/SCC.2014.90

Measuring expected integration effort in service composition

Tomer Sagi, Avigdor Gal, Matthias Weidlich

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
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
Pages	645-652
Article number	6930591
ISBN (Electronic)	9781479950669
DOIs	https://doi.org/10.1109/SCC.2014.90
Publication status	Published - 17 Oct 2014
Externally published	Yes
Event	11th IEEE International Conference on Services Computing, SCC 2014 - Anchorage, United States Duration: 27 Jun 2014 → 2 Jul 2014

Conference

Conference	11th IEEE International Conference on Services Computing, SCC 2014
Country/Territory	United States
City	Anchorage
Period	27/06/2014 → 02/07/2014

Series	Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Evaluation
Semantic web
Service composition

Access to Document

10.1109/SCC.2014.90

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Sagi, Tomer ; Gal, Avigdor ; Weidlich, Matthias. / Measuring expected integration effort in service composition. Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014. editor / Elena Ferrari ; Ravindran Kaliappa ; Patrick C.K. Hung. IEEE Signal Processing Society, 2014. pp. 645-652 (Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014).

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keywords = "Evaluation, Semantic web, Service composition",

author = "Tomer Sagi and Avigdor Gal and Matthias Weidlich",

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doi = "10.1109/SCC.2014.90",

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Sagi, T, Gal, A & Weidlich, M 2014, Measuring expected integration effort in service composition. in E Ferrari, R Kaliappa & PCK Hung (eds), Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014., 6930591, IEEE Signal Processing Society, Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014, pp. 645-652, 11th IEEE International Conference on Services Computing, SCC 2014, Anchorage, United States, 27/06/2014. https://doi.org/10.1109/SCC.2014.90

Measuring expected integration effort in service composition. / Sagi, Tomer; Gal, Avigdor; Weidlich, Matthias.
Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014. ed. / Elena Ferrari; Ravindran Kaliappa; Patrick C.K. Hung. IEEE Signal Processing Society, 2014. p. 645-652 6930591 (Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Gal, Avigdor

AU - Weidlich, Matthias

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N2 - 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.

AB - 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.

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M3 - Article in proceeding

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T3 - Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014

SP - 645

EP - 652

BT - Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014

A2 - Ferrari, Elena

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Sagi T, Gal A, Weidlich M. Measuring expected integration effort in service composition. In Ferrari E, Kaliappa R, Hung PCK, editors, Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014. IEEE Signal Processing Society. 2014. p. 645-652. 6930591. (Proceedings - 2014 IEEE International Conference on Services Computing, SCC 2014). doi: 10.1109/SCC.2014.90

Measuring expected integration effort in service composition

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Bibliographical note

Keywords

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