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Self-adaptive software: Landscape and research challenges
Abstract
Software systems dealing with distributed applications in changing environments normally require human supervision to continue operation in all conditions. These (re-)configuring, troubleshooting, and in general maintenance tasks lead to costly and time-consuming procedures during the operating phase. These problems are primarily due to the open-loop structure often followed in software development. Therefore, there is a high demand for management complexity reduction, management automation, robustness, and achieving all of the desired quality requirements within a reasonable cost and time range during operation. Self-adaptive software is a response to these demands; it is a closed-loop system with a feedback loop aiming to adjust itself to changes during its operation. These changes may stem from the software system'sself(internal causes, e.g., failure) orcontext(external events, e.g., increasing requests from users). Such a system is required tomonitoritself and its context,detectsignificant changes,decidehow to react, andactto execute such decisions. These processes depend on adaptation properties (called self-* properties), domain characteristics (context information or models), and preferences of stakeholders. Noting these requirements, it is widely believed that new models and frameworks are needed to design self-adaptive software. This survey article presents a taxonomy, based on concerns of adaptation, that is,how,what,whenandwhere, towards providing a unified view of…
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Lecture Notes in Computer Science 1205
(1999) · Industrial Robot: An International Journal · doi:10.1108/ir.1999.04926fae.001 · Cited by 38,662
(1994) · Cited by 21,711
The vision of autonomic computing
Kephart, J. O., & Chess, D. M. (2003) · Computer · doi:10.1109/mc.2003.1160055 · Cited by 6,572
Decisions with Multiple Objectives
Keeney, R. L., & Raiffa, H. (1993) · Cambridge University Press eBooks · doi:10.1017/cbo9781139174084 · Cited by 4,570
Supervisory Control of a Class of Discrete Event Processes
Ramadge, P. J., & Wonham, W. M. (1987) · SIAM Journal on Control and Optimization · doi:10.1137/0325013 · Cited by 3,346
Proceedings of the International Joint Conference on Artificial Intelligence 2007
Bundy, A. (2007) · International Joint Conference on Artificial Intelligence · Cited by 2,761
Artificial Intelligence: A Modern Approach
Ligęza, A. (1995) · Neurocomputing · doi:10.1016/0925-2312(95)90020-9 · Cited by 1,868
Artificial Intelligence: A Modern Approach
Russell, S., & Norvig, P. (1995) · Cited by 1,753
Castro, B. F. (1997) · Computación y Sistemas · Cited by 1,504
Design and evaluation of a wide-area event notification service
Carzaniga, A., Rosenblum, D. S., & Wolf, A. L. (2001) · ACM Transactions on Computer Systems · doi:10.1145/380749.380767 · Cited by 1,425
Research works printed but not linked: 15
- 10.5555/1756301.1756316 · doi:10.5555/1756301.1756316
- Buschmann F. Meunier R. Rohnert H. Sommerlad P. and Stal M. 1996. A System of Patterns—Pattern Oriented Software Architecture. Wiley. Buschmann F. Meunier R. Rohnert H. Sommerlad P. and Stal M. 1996. A System of Patterns—Pattern Oriented Software Architecture. Wiley.
- Ibm ref. arch . 2005 . An architectural blueprint for autonomic computing. IBM white paper. http://www-03.ibm.com/autonomic/pdfs/ACBlueprintWhitePaperV7.pdf. Ibm ref. arch. 2005. An architectural blueprint for autonomic computing. IBM white paper. http://www-03.ibm.com/autonomic/pdfs/ACBlueprintWhitePaperV7.pdf.
- Ieee-iso/iec 14764. 2006. Standard for software maintenance - IEEE 14764-2006 - ISO/IEC 14764. URL = http://ieeexplore.ieee.org/iel5/11168/35960/01703974.pdf. Ieee-iso/iec 14764. 2006. Standard for software maintenance - IEEE 14764-2006 - ISO/IEC 14764. URL = http://ieeexplore.ieee.org/iel5/11168/35960/01703974.pdf.
- Iso /Iec 9126-1. 2001. ISO/IEC 9126-1 Standard : Software Eng. -Product quality - Part 1: Quality model , International Standard Organization , 2001 . Iso/Iec 9126-1. 2001. ISO/IEC 9126-1 Standard: Software Eng. -Product quality - Part 1: Quality model, International Standard Organization, 2001.
- 10.5555/375094.375105 · doi:10.5555/375094.375105
- Laddaga , R. , Robertson , P. , and Shrobe , H. E . 2001 . Results of the 2nd International workshop on self-adaptive software. In Proceedings of the International Workshop on Self-Adaptive Software. 281--290 . Laddaga, R., Robertson, P., and Shrobe, H. E. 2001. Results of the 2nd International workshop on self-adaptive software. In Proceedings of the International Workshop on Self-Adaptive Software. 281--290.
- 10.5555/646195.681473 · doi:10.5555/646195.681473
- Murch , R. 2004. Autonomic Computing . Prentice Hall . Murch, R. 2004. Autonomic Computing. Prentice Hall.
- 10.5555/2167575.2167592 · doi:10.5555/2167575.2167592
- 10.1145/214956.214961 · DOI
- 10.5555/977400.977958 · doi:10.5555/977400.977958
- Scott , J. , Neema , S. , Bapty , T. , and Abbott , B . 2000 . Hardware/ software runtime environment for dynamically reconfigurable systems. Tech. Rep. ISIS-2000-06, Vanderbilt Univ. Scott, J., Neema, S., Bapty, T., and Abbott, B. 2000. Hardware/software runtime environment for dynamically reconfigurable systems. Tech. Rep. ISIS-2000-06, Vanderbilt Univ.
- Serugendo , G. D. M. , Foukia , N. , Hassas , S. , Karageorgos , A. , Mostéfaoui , S. K. , Rana , O. F. , Ulieru , M. , Valckenaers , P. , and van Aart , C. 2003 . Self-organisation: Paradigms and app . In Proceedings of the Engineering Self-Organising Applications Workshop. 1--19 . Serugendo, G. D. M., Foukia, N., Hassas, S., Karageorgos, A., Mostéfaoui, S. K., Rana, O. F., Ulieru, M., Valckenaers, P., and van Aart, C. 2003. Self-organisation: Paradigms and app. In Proceedings of the Engineering Self-Organising Applications Workshop. 1--19.
- 10.5555/1018409.1018780 · doi:10.5555/1018409.1018780
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Social Adaptation - When Software Gives Users a Voice
Ali, R., Solís, C., Omoronyia, I., Salehie, M., & Nuseibeh, B. (2012) · International Conference on Evaluation of Novel Approaches to Software Engineering · doi:10.5220/0003991900750084 · Cited by 61
Self-citationTowards a goal‐driven approach to action selection in self‐adaptive software
Salehie, M., & Tahvildari, L. (2011) · Software Practice and Experience · doi:10.1002/spe.1066 · Cited by 60
Self-citationDynamic knobs for responsive power-aware computing
Hoffmann, H., Sidiroglou, S., Carbin, M., Misailovíc, S., Agarwal, A., & Rinard, M. (2011) · ACM SIGPLAN Notices · doi:10.1145/1961296.1950390 · Cited by 56
Playing MUSIC — building context‐aware and self‐adaptive mobile applications
Floch, J., Frà, C., Fricke, R., Geihs, K., Wagner, M., Lorenzo, J., Soladana, E., Mehlhase, S., Paspallis, N., Rahnama, H., et al. (2012) · Software Practice and Experience · doi:10.1002/spe.2116 · Cited by 56
Online Reinforcement Learning for Self-adaptive Information Systems
Palm, A., Metzger, A., & Pohl, K. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-49435-3_11 · Cited by 56
ActivFORMS: A Formally Founded Model-based Approach to Engineer Self-adaptive Systems
Weyns, D., & Iftikhar, M. U. (2022) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3522585 · Cited by 56
ACon: A learning-based approach to deal with uncertainty in contextual requirements at runtime
Knauss, A., Damian, D., Franch, X., Rook, A., Müller, H. A., & Thomo, A. (2015) · Information and Software Technology · doi:10.1016/j.infsof.2015.10.001 · Cited by 55
Claims and supporting evidence for self-adaptive systems: a literature study
Weyns, D., Iftikhar, M. U., Malek, S., & Andersson, J. (2012) · Software Engineering for Adaptive and Self-Managing Systems · doi:10.5555/2666795.2666811 · Cited by 54
Social sensing: when users become monitors
Ali, R., Solís, C., Salehie, M., Omoronyia, I., Nuseibeh, B., & Maalej, W. (2011) · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · doi:10.1145/2025113.2025196 · Cited by 54
Self-citationGerostathopoulos, I., Bureš, T., Hnětynka, P., Keznikl, J., Kit, M., Plášil, F., & Plouzeau, N. (2016) · Journal of Systems and Software · doi:10.1016/j.jss.2016.02.028 · Cited by 54
Towards Engineering Cognitive Digital Twins with Self-Awareness
Zhang, N., Rami Bahsoon, A., & Theodoropoulos, G. K. (2020) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc42975.2020.9283357 · Cited by 52
Mechanisms for Leveraging Models at Runtime in Self-adaptive Software
Bennaceur, A., France, R., Tamburrelli, G., Vogel, T., Mosterman, P. J., Cazzola, W., Costa, F. M., Pierantonio, A., Tichy, M., Akşit, M., et al. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-08915-7_2 · Cited by 52
The user in the loop: Enabling user participation for self-adaptive applications
Evers, C., Kniewel, R., Geihs, K., & Schmidt, L. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.12.010 · Cited by 51
Design Patterns for Self Adaptive Systems Engineering
Abuseta, Y., & Swesi, K. (2015) · International Journal of Software Engineering & Applications · doi:10.5121/ijsea.2015.6402 · Cited by 50
Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition
Wang, H., Chen, X., Wu, Q., Yu, Q., Hu, X., Zheng, Z., & Bouguettaya, A. (2017) · ACM Transactions on Autonomous and Adaptive Systems · doi:10.1145/3058592 · Cited by 50
Self-Awareness in Systems on Chip— A Survey
Jantsch, A., Dutt, N. D., & Rahmani, A. M. (2017) · IEEE Design and Test · doi:10.1109/mdat.2017.2757143 · Cited by 50
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective
Azam, N., Michala, A. L., Ansari, S., & Truong, N. B. (2022) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2022.3227336 · Cited by 49
A survey of self‐healing systems frameworks
Schneider, C., Barker, A., & Dobson, S. (2014) · Software Practice and Experience · doi:10.1002/spe.2250 · Cited by 49
Metadata
- Authors
- Salehie, M., & Tahvildari, L.
- Affiliations
- University of Waterloo (CA)
- Venue
- ACM Transactions on Autonomous and Adaptive Systems
- Published
- 2009-05
- Volume
- 4
- Issue
- 2
- Pages
- 1-42
- ISSN
- 1556-4665 (ISSN-L)
- 1556-4703
- OpenAlex
- W1964137226
- Cited by
- 1,266
- References
- 158
- Citations by year
- 2026: 25 · 2025: 45 · 2024: 35 · 2023: 34 · 2022: 50 · 2021: 42 · 2020: 69 · 2019: 70 · 2018: 91 · 2017: 109 · 2016: 99 · 2015: 102 · 2014: 119 · 2013: 105 · 2012: 110
- FWCI
- 96.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACM Transactions on Autonomous and Adaptive Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Software › Advanced Software Engineering Methodologies
- Physical Sciences › Computer Science › Information Systems › Software Engineering Techniques and Practices
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed systems and fault tolerance
- Keywords
- self-adaptive software, self-* properties, distributed applications, context-aware systems, self-monitoring, self-configuration, self-healing, self-optimization, self-protection, research landscape, research gaps
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 ›
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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.
