The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Software Engineering for Self-Adaptive Systems: A Second Research Roadmap
Open accessAbstract
The goal of this roadmap paper is to summarize the state-of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for self-adaptive solutions, software engineering processes for self-adaptive systems, from centralized to decentralized control, and practical run-time verification & validation for self-adaptive systems. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
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Cites
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Software Engineering for Self-Adaptive Systems: A Research Roadmap
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Autonomous Vehicle Safety: An Interdisciplinary Challenge
Koopman, P., & Wagner, M. (2017) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2016.2583491 · Cited by 688
Autonomous Cars: Research Results, Issues, and Future Challenges
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A survey on engineering approaches for self-adaptive systems
Krupitzer, C., Roth, F. M., VanSyckel, S., Schiele, G., & Becker, C. (2015) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2014.09.009 · Cited by 443
The emerging role of cognitive computing in healthcare: a systematic literature review
Behera, R. K., Bala, P. K., & Dhir, A. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.04.024 · Cited by 193
Microservices and Their Design Trade-Offs: A Self-Adaptive Roadmap
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Metadata
- Authors
- de Lemos, R., Giese, H., Müller, H. A., Shaw, M., Andersson, J., Litoiu, M., Schmerl, B., Tamura, G., Villegas, N. M., Vogel, T., Weyns, D., Baresi, L., Becker, B., Bencomo, N., Brun, Y., Cukic, B., Desmarais, R., Dustdar, S., Engels, G., Geihs, K., Göschka, K. M., Gorla, A., Grassi, V., Inverardi, P., Karsai, G., Kramer, J., Lopes, A., Magee, J., Malek, S., Mankovskii, S., Mirandola, R., Mylopoulos, J., Nierstrasz, O., Pezzè, M., Prehofer, C., Schäfer, W., Schlichting, R., Smith, D. B., Sousa, J. P., Tahvildari, L., Wong, K., & Wuttke, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2013
- Pages
- 1-32
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2142486130
- Cited by
- 716
- References
- 45
- FWCI
- 49.65
- Type
- conference paper
- Language
- en
- Open access
- green
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- The paper
- de Lemos, R., Giese, H., Müller, H. A., Shaw, M., Andersson, J., Litoiu, M., Schmerl, B., Tamura, G., Villegas, N. M., Vogel, T., Weyns, D., Baresi, L., Becker, B., Bencomo, N., Brun, Y., Cukic, B., Desmarais, R., Dustdar, S., Engels, G., . . . Wuttke, J. (2013). Software Engineering for Self-Adaptive Systems: A Second Research Roadmap. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-35813-5_1
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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.