The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Adaptive Service Composition in Flexible Processes
Abstract
In advanced service oriented systems, complex applications, described as abstract business processes, can be executed by invoking a number of available Web services. End users can specify different preferences and constraints and service selection can be performed dynamically identifying the best set of services available at runtime. In this paper, we introduce a new modeling approach to the Web service selection problem that is particularly effective for large processes and when QoS constraints are severe. In the model, the Web service selection problem is formalized as a mixed integer linear programming problem, loops peeling is adopted in the optimization, and constraints posed by stateful Web services are considered. Moreover, negotiation techniques are exploited to identify a feasible solution of the problem, if one does not exist. Experimental results compare our method with other solutions proposed in the literature and demonstrate the effectiveness of our approach toward the identification of an optimal solution to the QoS constrained Web service selection problem.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A fast and elitist multiobjective genetic algorithm: NSGA-II
Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.996017 · Cited by 50,053
Multiple Attribute Decision Making
Hwang, C.-L., & Yoon, K. (1981) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-48318-9 · Cited by 8,526
Nemhauser, G. L., & Wolsey, L. A. (1972) · Cited by 3,371
QoS-aware middleware for Web services composition
Zeng, L., Benatallah, B., Ngu, A. H. H., Dumas, M., Kalagnanam, J., & Chang, H. (2004) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2004.11 · Cited by 2,757
Managing energy and server resources in hosting centers
Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., & Doyle, R. P. (2001) · Proceedings of the eighteenth ACM symposium on Operating systems principles · doi:10.1145/502034.502045 · Cited by 1,284
Compiler transformations for high-performance computing
Bacon, D. F., Graham, S. L., & Sharp, O. J. (1994) · ACM Computing Surveys · doi:10.1145/197405.197406 · Cited by 818
Meteor-s web service annotation framework
Patil, A. A., Oundhakar, S., Sheth, A., & Verma, K. (2004) · International World Wide Web Conference (WWW) · doi:10.1145/988672.988747 · Cited by 514
Web Service Composition - Current Solutions and Open Problems
Srivastava, B., & Koehler, J. (2003) · Cited by 340
The complexity and approximability of finding maximum feasible subsystems of linear relations
Amaldi, E., & Kann, V. (1995) · Theoretical Computer Science · doi:10.1016/0304-3975(94)00254-g · Cited by 201
Quality of service and semantic composition of workflows
Cardoso, S., & Jorge, A. R. C. (2002) · Cited by 197
Cited by
Investigating QoS of Real-World Web Services
Zheng, Z., Zhang, Y., & Lyu, M. R. (2014) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2012.34 · Cited by 444
A framework for QoS-aware binding and re-binding of composite web services
Canfora, G., Di Penta, M., Esposito, R., & Villani, M. L. (2008) · Journal of Systems and Software · doi:10.1016/j.jss.2007.12.792 · Cited by 296
Software Architecture Optimization Methods: A Systematic Literature Review
Aleti, A., Buhnova, B., Grunske, L., Koziolek, A., & Meedeniya, I. (2013) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2012.64 · Cited by 293
Metadata
- Authors
- Ardagna, D., & Pernici, B.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2007-06
- Volume
- 33
- Issue
- 6
- Pages
- 369-384
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2127414233
- Cited by
- 871
- References
- 18
- FWCI
- 161.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adaptive Service Composition in Flexible Processes. https://app.cochat.ai/papers/10.1109/tse.2007.1011
- The paper
- Ardagna, D., & Pernici, B. (2007). Adaptive Service Composition in Flexible Processes. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2007.1011
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.