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Publications related to 'Self-adaptation'   Download bibtex file Order by:   Type | Year
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Article (Journal)TOP
1
David Garlan, Shang-Wen Cheng, An-Cheng Huang, Bradley Schmerl and Peter Steenkiste. Rainbow: Architecture-Based Self Adaptation with Reusable Infrastructure. In IEEE Computer, Vol. 37(10), October 2004.
2
Shang-Wen Cheng and David Garlan. Stitch: A Language for Architecture-Based Self-Adaptation. In Danny Weyns, Jesper Andersson, Sam Malek and Bradley Schmerl editors, Journal of Systems and Software, Special Issue on State of the Art in Self-Adaptive Systems, Vol. 85(12), December 2012. http://dx.doi.org/10.1016/j.jss.2012.02.060 .
3
Javier Cámara, Pedro Correia, Rogério de Lemos, David Garlan, Pedro Gomes, Bradley Schmerl and Rafael Ventura. Incorporating Architecture-Based Self-Adaptation into an Adaptive Industrial Software System. In Journal of Systems and Software, 2015. Available on-line http://dx.doi.org/10.1016/j.jss.2015.09.021.
4
João Franco, Francisco Correia, Raul Barbosa, Mario Zenha-Rela, Bradley Schmerl and David Garlan. Improving Self-Adaptation Planning through Software Architecture-based Stochastic Modeling. In Journal of Systems and Software, Vol. 115:42-60, May 2016.
5
Javier Cámara, Gabriel A. Moreno, David Garlan and Bradley Schmerl. Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations. In ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section on Best Papers from SEAMS 2014 and Regular Articles, Vol. 10(4):23:1--23:28, ACM, New York, NY, USA, February 2016. ISSN 1556-4665.
6
Javier Cámara, Antónia Lopes, David Garlan and Bradley Schmerl. Adaptation impact and environment models for architecture-based self-adaptive systems. In Science of Computer Programming, Special issue of the 11th International Symposium on Formal Aspects of Component Software , Vol. 127:50-75, 2016. doi:10.1016/j.scico.2015.12.006.
7
Javier Cámara, Rogério de Lemos, Nuno Laranjeiro, Rafael Ventura and Marco Vieira. Robustness-Driven Resilience Evaluation of Self-Adaptive Systems. In IEEE Transactions on Dependable and Secure Computing , Vol. 14(1):50-64, 2017.
8
Gabriel A. Moreno, Javier Cámara, David Garlan and Bradley Schmerl. Flexible and Efficient Decision-Making for Proactive Latency-Aware Self-Adaptation. In ACM Transactions on Autonomous and Adaptive Systems, 2018. Accepted for publication.
9
Javier Cámara, Wenxin Peng, David Garlan and Bradley Schmerl. Reasoning about Sensing Uncertainty and its Reduction in Decision-Making for Self-Adaptation. In Science of Computer Programming, Vol. 167:51-69, 1 December 2018.
10
Javier Cámara, Bradley Schmerl, Gabriel A. Moreno and David Garlan. MOSAICO: Offline Synthesis of Adaptation Strategy Repertoires with Flexible Trade-Offs. In Automated Software Engineering, May 2018. Springer Link.
InProceedingsTOP
11
Shang-Wen Cheng, David Garlan and Bradley Schmerl. Architecture-based Self-adaptation in the Presence of Multiple Objectives. In ICSE 2006 Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Shanghai, China, 21-22 May 2006.
12
Shang-Wen Cheng, An-Cheng Huang, David Garlan, Bradley Schmerl and Peter Steenkiste. An Architecture for Coordinating Multiple Self-Management Systems. In Proceedings of the 4th Working IEEE/IFIP Conference on Software Architectures (WICSA4), Oslo, Norway, 11-14 June 2004.
13
Shang-Wen Cheng and David Garlan. Handling Uncertainty in Autonomic Systems. In Proceedings of the International Workshop on Living with Uncertainties (IWLU'07), co-located with the 22nd International Conference on Automated Software Engineering (ASE'07), Atlanta, GA, USA, 5 November 2007. <a href=http://godzilla.cs.toronto.edu/IWLU/program.html>http://godzilla.cs.toronto.edu/IWLU/program.html</a>;.
14
Rahul Raheja, Shang-Wen Cheng, David Garlan and Bradley Schmerl. Improving Architecture-Based Self-Adaptation using Preemption. In Proceedings of the Workshop on Self-Organizing Architecture, Cambridge, UK, 14 September 2009.
15
Paulo Casanova, Bradley Schmerl, David Garlan and Rui Abreu. Architecture-based Run-time Fault Diagnosis. In Proceedings of the 5th European Conference on Software Architecture, 13-16 September 2011.
16
Paulo Casanova, David Garlan, Bradley Schmerl and Rui Abreu. Diagnosing architectural run-time failures. In Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 20-21 May 2013. Received SEAMS 2013 Best Paper Award.
17
Eric Yuan, Sam Malek, Bradley Schmerl, David Garlan and Jeffrey Gennari. Architecture-Based Self-Protecting Software Systems. In Proceedings of the Ninth International ACM Sigsoft Conference on the Quality of Software Architectures (QoSA 2013), Pages 33-42, 17-21 June 2013. DOI: 10.1145/2465478.2465479.
18
Paulo Casanova, David Garlan, Bradley Schmerl and Rui Abreu. Diagnosing Unobserved Components in Self-Adaptive Systems. In 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Hyderabad, India, 2-3 June 2014.
19
Bradley Schmerl, Javier Cámara, Jeffrey Gennari, David Garlan, Paulo Casanova, Gabriel A. Moreno, Thomas J. Glazier and Jeffrey M. Barnes. Architecture-Based Self-Protection: Composing and Reasoning about Denial-of-Service Mitigations. In HotSoS 2014: 2014 Symposium and Bootcamp on the Science of Security, Raleigh, NC, USA, 8-9 April 2014.
20
Javier Cámara, Gabriel A. Moreno and David Garlan. Stochastic Game Analysis and Latency Awareness for Proactive Self-Adaptation. In 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Hyderabad, India, 2-3 June 2014.
21
Javier Cámara, Pedro Correia, Rogério de Lemos and Marco Vieira. Empirical Resilience Evaluation of an Architecture-based Self-Adaptive Software System. In Tenth International ACM Sigsoft Conference on the Quality of Software Architectures, Lille, France, 30 June - 3 July 2014. ACM SIGSOFT QoSA Distinguished Paper Award.
22
Javier Cámara, Antónia Lopes, David Garlan and Bradley Schmerl. Impact Models for Architecture-Based Self-Adaptive Systems. In Proceedings of the 11th International Symposium on Formal Aspects of Component Software (FACS2014), Bertinoro, Italy, 10-12 September 2014.
23
Javier Cámara, David Garlan, Bradley Schmerl and Ashutosh Pandey. Optimal Planning for Architecture-Based Self-Adaptation via Model Checking of Stochastic Games. In Proceedings of the 10th DADS Track of the 30th ACM Symposium on Applied Computing, Salamanca, Spain, 13-17 April 2015.
24
Javier Cámara, Gabriel A. Moreno and David Garlan. Reasoning about Human Participation in Self-Adaptive Systems. In Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015), Florence, Italy, 18-19 May 2015.
25
Zack Coker, David Garlan and Claire Le Goues. SASS: Self-adaptation using stochastic search. In Proceedings 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2015), 18-19 May 2015.
26
Gabriel A. Moreno, Javier Cámara, David Garlan and Bradley Schmerl. Proactive Self-Adaptation under Uncertainty: a Probabilistic Model Checking Approach. In Proceedings of the 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering, Bergamo, Italy, 30 August - 4 September 2015.
27
Thomas J. Glazier, Javier Cámara, Bradley Schmerl and David Garlan. Analyzing Resilience Properties of Different Topologies of Collective Adaptive Systems. In Proceedings of the 3rd FoCAS Workshop on the Fundamentals of Collective Adaptive Systems, Boston, MA, USA, 21 September 2015.
28
Gabriel A. Moreno, Javier Cámara, David Garlan and Bradley Schmerl. Efficient Decision-Making under Uncertainty for Proactive Self-Adaptation. In Proceedings of the 13th IEEE International Conference on Autonomic Computing (ICAC 2016), Würzburg, Germany, 19-22 July 2016. Selected as a best paper.
29
Ashutosh Pandey, Gabriel A. Moreno, Javier Cámara and David Garlan. Hybrid Planning for Decision Making in Self-Adaptive Systems. In Proceedings of the 10th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2016), Augsburg, Germany, 12-16 September 2016.
30
Gabriel A. Moreno, Alessandro V. Papadopoulos, Konstantinos Angelopoulo, Javier Cámara and Bradley Schmerl. Comparing Model-Based Predictive Approaches to Self-Adaptation: CobRA and PLA. In Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017), Buenos Aires, Argentina, 22-23 May 2017.
31
Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl and Javier Cámara. Towards a Formal Framework for Hybrid Planning in Self-Adaptation. In Proceedings of the 12th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2017), Buenos Aires, Argentina, 22-23 May 2017.
32
Javier Cámara, Wenxin Peng, David Garlan and Bradley Schmerl. Reasoning about Sensing Uncertainty in Decision-Making for Self-Adaptation. In Proceedings of the 15th International Workshop on Foundations of Coordination Languages and Self-Adaptive Systems (FOCLASA 2017), Vol. 10729 of Lecture Notes in Computer Science, Springer, 5 September 2017.
33
Ashutosh Pandey, Bradley Schmerl and David Garlan. Instance-based Learning for Hybrid Planning. In Proceedings of the 3rd International Workshop on Data-driven Self-regulating Systems (DSS 2017), Tucson, AZ, USA, 18-22 September 2017.
34
Nicolas Rouquette, Nenad Medvidovic and David Garlan. Dependable Autonomous Systems = knowing well what to do + knowing how to do it well. In Proceedings of the NASA High Dependability Computing Consortium Workshop, NASA AMES, Moffett Field, CA, 10-12 January 2001.
35
Gautham Nayak Seetanandi, Javier Cámara, Luis Almeida, Karl-Erik Årzén and Martina Maggio. Event-Driven Bandwidth Allocation with Formal Guarantees for Camera Networks. In Proceedings of the 2017 IEEE Real-Time Systems Symposium, Paris, France, 5-8 December 2017.
36
Ashutosh Pandey. Hybrid Planning in Self-Adaptive Systems. In FAS* Foundations and Applications of Self* Systems (FAS* 2017) Doctoral Symposium, Tucson, AZ, USA, 18-22 September 2017.
37
Gabriel A. Moreno, Bradley Schmerl and David Garlan. SWIM: An Exemplar for Evaluation and Comparison of Self-Adaptation Approaches for Web Applications. In Proceedings of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, Gothenburg, Sweden, 28-29 May 2018. Best Artifact Paper Award Winner.
38
Gabriel A. Moreno, Javier Cámara, David Garlan and Mark Klein. Uncertainty Reduction in Self-Adaptive Systems. In Proc. of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Gothenburg, Sweden, 28-29 May 2018.
39
Roykrong Sukkerd, Reid Simmons and David Garlan. Towards Explainable Multi-Objective Probabilistic Planning. In Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS\'18), Gothenburg, Sweden, 27 May 2018.
40
Cody Kinneer, Zack Coker, Jiacheng Wang, David Garlan and Claire Le Goues. Managing Uncertainty in Self-Adaptive Systems with Plan Reuse and Stochastic Search. In In Proceedings of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), 28-29 May 2018. Selected as a distinguished paper.
41
Nabor C. Mendonça, David Garlan, Bradley Schmerl and Javier Cámara. Generality vs. Reusability in Architecture-Based Self-Adaptation: The Case for Self-Adaptive Microservices. In The 12th European Conference on Software Architecture: Companion Proceedings, Madrid, Spain, 24-28 September 2018.
InCollectionTOP
42
Rogério de Lemos, Holger Giese, Hausi A. Muller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Ron Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Goeschka, Alessandra Gorla, Vincenzo Grassi, Paola Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antónia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezz, Christian Prehofer, Wilhelm Schafer, Rick Schlichting, Bradley Schmerl, Dennis B. Smith, João Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong and Jochen Wuttke. Software engineering for self-adaptive systems: A second research roadmap. In Rogério de Lemos, Holger Giese, Hausi A. Muller and Mary Shaw editors, Software Engineering for Self-Adaptive Systems II, Vol. 7475:1--32, Springer-Verlag, 2013.
InBookTOP
43
David Garlan, Bradley Schmerl and Shang-Wen Cheng. Software Architecture-Based Self-Adaptation. In Mieso Denko, Laurence Yang and Yan Zhang editors, Autonomic Computing and Networking, Nr. (ISBN 978-0-387-89827-8), Springer, 2009. Springer Link.
44
Vahe Poladian, Shang-Wen Cheng, David Garlan and Bradley Schmerl. Improving Architecture-Based Self-Adaption Through Resource Prediction. In Betty H.C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi and Jeff Magee editors, Software Engineering for Self-Adaptive Systems, Vol. 5525 of Lecture Notes in Computer Science, Chapter 15, LNCS, 2008.
45
Danny Weyns, Bradley Schmerl, Vincenzo Grassi, Sam Malek, Raffaela Mirandola, Christian Prehofer, Jochen Wuttke, Jesper Andersson, Holger Giese and Karl Goeschka. On Patterns for Decentralized Control in Self-Adaptive Systems. In Rogério de Lemos, Holger Giese, Hausi Muller and Mary Shaw editors, Software Engineering for Self-Adaptive Systems II, Vol. 7475 of LNCS , Springer, 2012.
46
Javier Cámara, David Garlan, Gabriel A. Moreno and Bradley Schmerl. Analyzing Self-Adaptation via Model Checking of Stochastic Games. In Rogério de Lemos, David Garlan, Carlo Ghezzi and Holger Giese editors, Software Engineering for Self-Adaptive Systems III. Assurances, Nr. (9640), Lecture Notes in Computer Science, Springer, 2017.
47
Javier Cámara, David Garlan, Gabriel A. Moreno and Bradley Schmerl. Evaluating Trade-Offs of Human Involvement in Self-Adaptive Systems. In Ivan Mistrik, Nour Ali, John Grundy, Rick Kazman and Bradley Schmerl editors, Managing Trade-Offs in Self-Adaptive Systems, Elsevier, September 2016.
48
Bradley Schmerl, Jesper Andersson, Thomas Vogel, Myra Cohen, Cecilia M. F. Rubira, Yuriy Brun, Alessandra Gorla, Franco Zambonelli and Luciano Baresi. Challenges in Composing and Decomposing Assurances for Self-Adaptive Systems. In Rogério de Lemos, David Garlan, Carlo Ghezzi and Holger Giese editors, Software Engineering for Self-Adaptive Systems III. Assurances, Nr. (9640), Lecture Notes in Computer Science, Springer, 2017.
49
Danny Weyns, Nelly Bencomo, Radu Calinescu, Javier Cámara, Carlo Ghezzi, Vincenzo Grassi, Larse Grunske, Paola Inverardi, Jean-Marc Jezequel, Sam Malek, Raffaela Mirandola, Marco Mori and Giordano Tambrrellii. Perpetual Assurances for Self-Adaptive Systems. In Rogério de Lemos, David Garlan, Carlo Ghezzi and Holger Giese editors, Software Engineering for Self-Adaptive Systems III. Assurances, Nr. (9640), Lecture Notes in Computer Science, Springer, 2017.
PhdThesisTOP
50
Gabriel A. Moreno. Adaptation Timing in Self-Adaptive Systems. PhD thesis, Institute for Software Research, School of Computer Science,Carnegie Mellon University, April 2017. Technical Report CMU-ISR-17-103.
TechReportTOP
51
Bradley Schmerl, Javier Cámara, Gabriel A. Moreno, David Garlan and Andrew Mellinger. Architecture-Based Self-Adaptation for Moving Target Defense. Technical report, CMU-ISR-14-109, Institute for Software Research, Carnegie Mellon University, 2014.
52
Javier Cámara, David Garlan, Won Gu Kang, Wenxin Peng and Bradley Schmerl. Uncertainty in Self-Adaptive Systems. Technical report, CMU-ISR-17-110, Institute for Software Research, Carnegie Mellon University, July 2017. http://reports-archive.adm.cs.cmu.edu/anon/isr2017/abstracts/17-110.html.
53
David Garlan, Nicolas D’Ippolito and Kenji Tei. The 2nd Controlled Adaptation of Self-Adaptive Systems Workshop (CASaS2017) Technical report, NII-2017-10, National Institute of Informatics, 24-28 July 2017.
54
Thomas J. Glazier, Bradley Schmerl, Javier Cámara and David Garlan. Utility Theory for Self-Adaptive Systems. Technical report, CMU-ISR-17-119, Carnegie Mellon University Institute for Software Research, December 2017. http://reports-archive.adm.cs.cmu.edu/anon/isr2017/abstracts/17-119.html.
UnpublishedTOP
55
Ashutosh Pandey, Ivan Ruchkin, Bradley Schmerl, Javier Cámara and David Garlan. Formalizing the Hybrid Planning Problem for Self-Adaptation. 2018. Submitted for publication.
BookTOP
56
Ivan Mistrik, Nour Ali, John Grundy and Bradley Schmerl editors. Managing Trade-offs in Adaptable Software Architectures. Morgan Kaufmann, August 2016.
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