STARS: software technology for adaptable and reusable systems PhD research project
Article No.: 15, Pages 1 - 2
Abstract
Dynamically Adaptive Systems (DAS) modify their behaviours in response to (sometimes unpredictable) changes in their environment or to the evolution of their own abilities (sensors and actuators). To support adaptation, a reference architecture (such as the MAPE-K model) is paramount. Yet, this is not sufficient as challenges concerning the fine-grained variability management and testability remain. The STARS Ph.D. project aims at developing a variability and context-aware architectural model for DAS that particularly takes into account testability. In particular, we want to adapt tests at runtime in order to assess and prevent the impact of inappropriate adaptations.
References
[1]
Luciano Baresi and Clément Quinton. 2015. Dynamically evolving the structural variability of dynamic software product lines. In Proceedings of the 10th International Symposium on Software Engineering for Adaptive and Self-Managing Systems. IEEE Press, 57--63.
[2]
Nelly Bencomo, Jaejoon Lee, and Svein Hallsteinsen. 2010. How dynamic is your Dynamic Software Product Line?. In 4th Int. Workshop on Dynamic Software Product Lines (DSPL).
[3]
Jiang Bo, Long Xiang, and Gao Xiaopeng. 2007. MobileTest: A tool supporting automatic black box test for software on smart mobile devices. In Proceedings of the Second International Workshop on Automation of Software Test. IEEE Computer Society, 8.
[4]
Rafael Capilla, Jan Bosch, Pablo Trinidad, Antonio Ruiz-Cortés, and Mike Hinchey. 2014. An overview of Dynamic Software Product Line architectures and techniques: Observations from research and industry. Journal of Systems and Software 91 (2014), 3--23.
[5]
Ismayle de Sousa Santos, Rossana Maria de Castro Andrade, Lincoln Souza Rocha, Santiago Matalonga, Kathia Marcal de Oliveira, and Guilherme Horta Travassos. 2017. Test case design for context-aware applications: Are we there yet? Information and Software Technology 88 (2017), 1--16.
[6]
Matthias Galster, Uwe Zdun, Danny Weyns, Rick Rabiser, Bo Zhang, Michael Goedicke, and Gilles Perrouin. 2016. Variability and Complexity in Software Design: Towards a Research Agenda. ACM SIGSOFT Software Engineering Notes 41, 6 (11 2016), 27--30.
[7]
IBM. 2006. An architectural blueprint for autonomic computing. IBM White Paper 31 (2006), 1--6.
[8]
Kyo C Kang, Sholom G Cohen, James A Hess, William E Novak, and A Spencer Peterson. 1990. Feature-oriented domain analysis (FODA) feasibility study. Technical Report. Carnegie-Mellon Univ Pittsburgh Pa Software Engineering Inst.
[9]
S. Matalonga and G.H. Travassos. 2017. Testing context-aware software systems: Unchain the context, set it free! ACM International Conference Proceeding Series (2017), 250--254. cited By 0.
[10]
Jacopo Mauro, Michael Nieke, Christoph Seidl, and Ingrid Chieh Yu. 2016. Context Aware Reconfiguration in Software Product Lines. In Proceedings of the 10th International Workshop on Variability Modelling of Software-intensive Systems (VaMoS). 41--48.
[11]
G. Perrouin, B. Morin, F. Chauvel, F. Fleurey, J. Klein, Y. Le Traon, O. Barais, and J.M Jézéquel. 2012. Towards flexible evolution of Dynamically Adaptive Systems. In 2012 34th International Conference on Software Engineering (ICSE). 1353--1356.
[12]
Edilton Santos and Ivan Machado. 2018. Towards an Architecture Model for Dynamic Software Product Lines Engineering. In 2018 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, 31--38.
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February 2020
184 pages
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 06 February 2020
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- Extended-abstract
Funding Sources
- Fonds De La Recherche Scientifique - FNRS
- Université de Namur
Conference
VaMoS '20
VaMoS '20: 14th International Working Conference on Variability Modelling of Software-Intensive Systems
February 5 - 7, 2020
Magdeburg, Germany
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Overall Acceptance Rate 66 of 147 submissions, 45%
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