The DOI matches its Crossref record.
Composing adaptive software
Abstract
Interest in adaptive computing systems has increased dramatically in the past few years, and a variety of techniques now allow software to adapt dynamically to its environment. Compositional adaptation enables software to modify its structure and behavior dynamically in response to change in its execution environment. A review of current technology compares how, when, and where recomposition occurs.
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Citations
Cited by
Self-adaptive software: Landscape and research challenges
Salehie, M., & Tahvildari, L. (2009) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/1516533.1516538 · Cited by 1,266
Model-based intelligent user interface adaptation: challenges and future directions
Abrahão, S., Insfran, E., Sluÿters, A., & Vanderdonckt, J. (2021) · Software and Systems Modeling · doi:10.1007/s10270-021-00909-7 · Cited by 74
Metadata
- Authors
- McKinley, P. K., Sadjadi, S. M., Kasten, E. P., & Cheng, B. H. C.
- Venue
- Computer
- Published
- 2004-07
- Volume
- 37
- Issue
- 7
- Pages
- 56-64
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2057807303
- Cited by
- 593
- References
- 0
- FWCI
- 42.36
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Composing adaptive software. https://app.cochat.ai/papers/10.1109/mc.2004.48
- The paper
- McKinley, P. K., Sadjadi, S. M., Kasten, E. P., & Cheng, B. H. C. (2004). Composing adaptive software. Computer. https://doi.org/10.1109/mc.2004.48
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.
