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% Selection : Author: JoĂŁo_Sousa
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@Article{Poladian2006,
AUTHOR = {Sousa, Jo\~{a}o and Poladian, Vahe and Garlan, David and Schmerl, Bradley and Shaw, Mary},
TITLE = {Task-Based Adaptation for Ubiquitous Computing},
YEAR = {2006},
MONTH = {May},
JOURNAL = {IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, Special Issue on Engineering Autonomic Systems},
VOLUME = {36},
NUMBER = {3},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/tbuc.pdf},
ABSTRACT = {An important domain for autonomic systems is the area of ubiquitous computing: users are increasingly surrounded by technology that is heterogeneous, pervasive, and variable. In this paper we describe our work in developing self-adapting computing infrastructure that automates the configuration and reconfiguration of such environments. Focusing on the engineering issues of self-adaptation in the presence of heterogeneous platforms, legacy applications, mobile users, and resource variable environments, we describe a new approach based on the following key ideas: (a) Explicit representation of user tasks allows us to determine what service qualities are required of a given configuration; (b) Decoupling task and preference specification from the lower level mechanisms that carry out those preferences provides a clean engineering separation of concerns between what is needed and how it is carried out; and (c) Efficient algorithms allow us to calculate in real time near-optimal resource allocations and reallocations for a given task.},
NOTE = {Also available at IEEE Xplore},
KEYWORDS = {Aura, Autonomic Systems, Ubiquitous Computing}
}
@InProceedings{Sousa2005,
AUTHOR = {Sousa, Jo\~{a}o and Poladian, Vahe and Garlan, David and Schmerl, Bradley},
TITLE = {Capitalizing on Awareness of User Tasks for Guiding Adaptation.},
YEAR = {2005},
BOOKTITLE = {Proceedings of the First International Workshop on Adaptive and Self-managing Enterprise Applications, at CAISE'05},
ADDRESS = {Portugal},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/asmea05.pdf},
ABSTRACT = {Computers support more and more tasks in the personal and professional activities of users. Such user tasks increasingly span large periods of time and many locations across the enterprise space and beyond. Recently there has been a growing interest in developing applications that can cope with the specific environmental conditions at each location, and adapt to dynamic changes in system resources. However, in a given situation there may be many possible configuration solutions, and an awareness of the user's intent for each task is a critical element in knowing which one to pick. In this paper, we discuss the limitations of building such awareness into applications, and propose to factor the awareness of user tasks into a common software layer. That however, brings up the problem of coordinating the system-wide adaptation performed by such a layer with fine-grain adaptation performed by resource-aware applications. We summarize the main features of an architectural framework that incorporates such a layer, and distill some of the lessons learned in implementing the framework.},
KEYWORDS = {Aura, Autonomic Systems, Ubiquitous Computing}
}
@PhdThesis{Sousa2005a,
AUTHOR = {Sousa, Jo\~{a}o},
TITLE = {Scaling Task Management in Space and Time: Reducing User Overhead in Ubiquitous-Computing Environments},
YEAR = {2005},
SCHOOL = {Carnegie Mellon University School of Computer Science Technical Report CMU-CS-05-123},
KEYWORDS = {Aura, Ubiquitous Computing}
}
@InProceedings{Poladian2005,
AUTHOR = {Poladian, Vahe and Sousa, Jo\~{a}o and Padberg, Frank and Shaw, Mary},
TITLE = {Anticipatory Configuration of Resource-aware Applications},
YEAR = {2005},
MONTH = {May},
BOOKTITLE = {Proceedings of the 7th International Workshop on Economics Driven Software Engineering Research, affiliated with the 27th International Conference on Software Engineering},
ADDRESS = {St. Louis, MS},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/edser7.pdf},
ABSTRACT = {We propose an improved approach to dynamic configuration of resource-aware applications. The new anticipatory model of configuration maximizes utility based on three inputs: user preferences, application capability profiles, and resource availability. In this respect, the proposed model is similar to a model of configuration described in [2]. However, the latter addresses the dynamic nature of the problem by reacting to changes (such as decrease in resource availability), and maximizes the utility in a point-wise manner. The newly proposed anticipatory approach explicitly models the duration of the task and leverages possible information about the future (such as stochastic resource availability over the expected duration of the task). We expect that the anticipatory model will improve user's utility, conserve scarce resources, and reduce the amount of disruption to the user resulting from changes when compared to the reactive model. However, the optimization problem underlying the anticipatory model is computationally more difficult than the problem underlying the reactive model. We would like to investigate if the anticipatory approach is feasible and efficient in practice while delivering the above-mentioned improvements. In this paper, we carefully state the model of anticipatory configuration, highlight the sources of complexity in the problem, propose an algorithm to the anticipatory configuration problem, and provide a roadmap for research.},
KEYWORDS = {Dynamic Configuration, Aura}
}
@InProceedings{Garlan2004a,
AUTHOR = {Garlan, David and Poladian, Vahe and Schmerl, Bradley and Sousa, Jo\~{a}o},
TITLE = {Task-based Self-adaptation},
YEAR = {2004},
MONTH = {31 October - 1 November},
BOOKTITLE = {Proceedings of the ACM SIGSOFT 2004 Workshop on Self-Managing Systems (WOSS'04)},
ADDRESS = {Newport Beach, CA},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/woss04.pdf},
ABSTRACT = {Recently there has been increasing interest in developing systems that can adapt dynamically to cope with changing environmental conditions and unexpected system errors. Most efforts for achieving self-adaptation have focused on the mechanisms for detecting opportunities for improvement and then taking appropriate action. However, such mechanisms beg the question: what is the system trying to achieve? In a given situation there may be many possible adaptations, and knowing which one to pick is a difficult question. In this paper we advocate the use of explicit representation of user task as a critical element in addressing this missing link.},
KEYWORDS = {Autonomic Systems, Self-Repair}
}
@InProceedings{Poladian2004,
AUTHOR = {Poladian, Vahe and Sousa, Jo\~{a}o and Garlan, David and Shaw, Mary},
TITLE = {Dynamic Configuration of Resource-Aware Services},
YEAR = {2004},
MONTH = {23-28 May},
BOOKTITLE = { Proceedings of the 26th International Conference on Software Engineering},
ADDRESS = {Edinburgh, Scotland},
PDF = {http://www.cs.cmu.edu/afs/cs/project/able/ftp/aura_icse04/aura_icse04.pdf},
ABSTRACT = {An important emerging requirement for computing systems is the ability to adapt at run time, taking advantage of local computing devices, and coping with dynamically changing resources. Three specific technical challenges in satisfying this requirement are to (1) select an appropriate set of applications or services to carry out a user s task, (2) allocate (possibly scarce) resources among those applications, and (3) reconfigure the applications or resource assignments if the situation changes. In this paper we show how to provide a shared infrastructure that automates configuration decisions given a specification of the user s task. The heart of the approach is an analytical model and an efficient algorithm that can be used at run time to make near-optimal (re)configuration decisions. We validate this approach both analytically and by applying it to a representative scenario.},
KEYWORDS = {Mult-fidelity Applications, Resource Allocation, Resource Aware Computing, Service Composition, Ubiquitous Computing}
}
@TechReport{Sousa2003,
AUTHOR = {Sousa, Jo\~{a}o and Garlan, David},
TITLE = {The Aura Software Architecture: An Infrastructure for Ubiquitous Computing},
YEAR = {2003},
MONTH = {August},
NUMBER = {CMU-CS-03-183},
INSTITUTION = { School of Computer Science, Carnegie Mellon University},
KEYWORDS = {Aura, Ubiquitous Computing}
}
@InProceedings{Cheng2002a,
AUTHOR = {Cheng, Shang-Wen and Garlan, David and Schmerl, Bradley and Sousa, Jo\~{a}o and Spitznagel, Bridget and Steenkiste, Peter},
TITLE = {Using Architectural Style as a Basis for Self-repair},
YEAR = {2002},
MONTH = {25-31 August},
BOOKTITLE = {Software Architecture: System Design, Development, and Maintenance (Proceedings of the 3rd Working IEEE/IFIP Conference on Software Architecture)},
PAGES = {45-59},
EDITOR = {Bosch, Jan and Gentleman, Morven and Hofmeister, Christine and Kuusela, Juha},
PUBLISHER = {Kluwer Academic Publishers},
PDF = {http://www.cs.cmu.edu/afs/cs/project/able/ftp/wicsa3-arch/WICSA-web.pdf},
PS = {http://www.cs.cmu.edu/afs/cs/project/able/ftp//wicsa3-arch/WICSA-web.ps},
ABSTRACT = {An increasingly important requirement for software systems is the capability to adapt at run time in order to accommodate varying resources, system errors, and changing requirements. For such self-repairing systems, one of the hard problems is determining when a change is needed, and knowing what kind of adaptation is required. Recently several researchers have explored the possibility of using architectural models as a basis for run time monitoring, error detection, and repair. Each of these efforts, however, has demonstrated the feasibility of using architectural models in the context of a specific style. In this paper we show how to generalize these solutions by making architectural style a parameter in the monitoring/repair framework and its supporting infrastructure. The value of this generalization is that it allows one to tailor monitoring/ repair mechanisms to match both the properties of interest (such as performance or security), and the available operators for run time adaptation.},
KEYWORDS = {Architectural Analysis, Autonomic Systems, Self-Repair, Software Architecture}
}
@InProceedings{Sousa2002,
AUTHOR = {Sousa, Jo\~{a}o and Garlan, David},
TITLE = {Aura: an Architectural Framework for User Mobility in Ubiquitous Computing Environments},
YEAR = {2002},
MONTH = {25-31 August},
BOOKTITLE = {Software Architecture: System Design, Development, and Maintenance (Proceedings of the 3rd Working IEEE/IFIP Conference on Software Architecture)},
PAGES = {29-43},
EDITOR = {Bosch, Jan and Gentleman, Morven and Hofmeister, Christine and Kuusela, Juha},
PUBLISHER = {Kluwer Academic Publishers},
PDF = {http://www.cs.cmu.edu/afs/cs/project/able/ftp/wicsa3-aura/wicsa.pdf},
ABSTRACT = {Ubiquitous computing poses a number of challenges for software architecture. One of the most important is the ability to design software systems that accommodate dynamically-changing resources. Resource variability arises naturally in a ubiquitous computing setting through user mobility (a user moves from one computing environment to another), and through the need to exploit time-varying resources in a given environment (such as wireless bandwidth). Traditional approaches to handling resource variability in applications attempt to address the problem by imposing uniformity on the environment. We argue that those approaches are inadequate, and describe an alternative architectural framework that is better matched to the needs of ubiquitous computing. A key feature of the architecture is that user tasks become first class entities. User proxies, or Auras, use models of user tasks to set up, monitor and adapt computing environments proactively. The architectural framework has been implemented and currently being used as a central component of Project Aura, a campus-wide ubiquitous computing effort.},
KEYWORDS = {Aura, Software Architecture, Ubiquitous Computing}
}
@InProceedings{Cheng2002b,
AUTHOR = {Cheng, Shang-Wen and Garlan, David and Schmerl, Bradley and Sousa, Jo\~{a}o and Spitznagel, Bridget and Steenkiste, Peter and Hu, Ningning},
TITLE = {Software Architecture-based Adaptation for Pervasive Systems},
YEAR = {2002},
MONTH = {8-11 April},
BOOKTITLE = {International Conference on Architecture of Computing Systems (ARCS'02): Trends in Network and Pervasive Computing},
VOLUME = {2299},
EDITOR = {Schmeck, H and Ungerer, T and Wolf, L},
SERIES = {Lecture Notes in Computer Science},
ADDRESS = {Karlsruhe, Germany},
PUBLISHER = {Springer-Verlag},
PDF = {http://www.cs.cmu.edu/afs/cs/project/able/ftp/arch-arcs02/arcs-final.pdf},
PS = {http://www.cs.cmu.edu/afs/cs/project/able/ftp/arch-arcs02/arcs-final.ps},
ABSTRACT = { An important requirement for pervasive computing systems is the ability to adapt at runtime to handle varying resources, user mobility, changing user needs, and system faults. In this paper we describe an approach in which dynamic adaptation is supported by the use of software architectural models to monitor an application and guide dynamic changes to it. The use of externalized models permits one to make reconfiguration decisions based on a global per-spective of the running system, apply analytic models to determine correct re-pair strategies, and gauge the effectiveness of repair through continuous system monitoring. We illustrate the application of this idea to pervasive computing systems, focusing on the need to adapt based on performance-related criteria and models.},
KEYWORDS = {Software Architecture, Ubiquitous Computing}
}
@Article{Sousa2001,
AUTHOR = {Sousa, Jo\~{a}o and Garlan, David},
TITLE = {Formal Modeling of the Enterprise JavaBeans Component Integration Framework},
YEAR = {2001},
MONTH = {March},
JOURNAL = {Information and Software Technology},
VOLUME = {43},
NUMBER = {3},
NOTE = {Also available as Technical Report CMU-CS-00-162, Carnegie Mellon University School of Computer Science},
KEYWORDS = {Formal Methods, Software Architecture}
}
@TechReport{Garlan2000d,
AUTHOR = {Garlan, David and Sousa, Jo\~{a}o},
TITLE = {Documenting Software Architectures: Recommendations for Industrial Practice},
YEAR = {2000},
MONTH = {October},
NUMBER = {CMU-CS-00-169},
INSTITUTION = {Carnegie Mellon University School of Computer Science}
}
@TechReport{Sousa2005b,
AUTHOR = {Sousa, Jo\~{a}o and Balan, Rajesh and Poladian, Vahe and Garlan, David and Satyanarayanan, Mahadev},
TITLE = {Giving Users the Steering Wheel for Guiding Resource-Adaptive Systems},
YEAR = {2005},
MONTH = {December},
NUMBER = {CMU-CS-05-198},
INSTITUTION = {Carnegie Mellon University School of Computer Science},
KEYWORDS = {Aura, Mult-fidelity Applications, Resource Allocation, Service Composition, Ubiquitous Computing}
}
@InProceedings{Poladian2007,
AUTHOR = {Poladian, Vahe and Garlan, David and Shaw, Mary and Schmerl, Bradley and Sousa, Jo\~{a}o and Satyanarayanan, Mahadev},
TITLE = {Leveraging Resource Prediction for Anticipatory Dynamic Configuration},
YEAR = {2007},
MONTH = {8-11 July},
BOOKTITLE = { Proceedings of the First IEEE International Conference on Self-Adaptive and Self-Organizing Systems, SASO-2007},
PAGES = {214-223},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/predictive_configuration_16_marked.pdf},
ABSTRACT = {Self-adapting systems based on multiple concurrent applications must decide how to allocate scarce resources to
applications and how to set the quality parameters of each
application to best satisfy the user. Past work has made
those decisions with analytic models that used current resource availability information: they react to recent changes in resource availability as they occur, rather than anticipating future availability. These reactive techniques may model each local decision optimally, but the accumulation of decisions over time nearly always becomes less than optimal.
In this paper, we propose an approach to self adaptation, called anticipatory configuration that leverages
predictions of future resource availability to improve utility for the user over the duration of the task. The approach solves the following technical challenges: (1) how to express resource availability prediction, (2) how to combine prediction from multiple sources, and (3) how to leverage predictions continuously while improving utility to the user. Our experiments show that when certain adaptation operations are costly, anticipatory configuration provides better utility to the user than reactive configuration, while being comparable in resource demand.},
KEYWORDS = {Aura, Dynamic Configuration, Resource Aware Computing, Service Composition, Ubiquitous Computing}
}
@InBook{Sousa2008,
AUTHOR = {Sousa, Jo\~{a}o and Schmerl, Bradley and Steenkiste, Peter and Garlan, David},
TITLE = {Activity Oriented Computing},
YEAR = {2008},
BOOKTITLE = {Advances in Ubiquitous Computing: Future Paradigms and Directions},
EDITOR = {Mostefaoui, Soraya Kouadri and Maamar, Zakaria and Giaglis, George},
ADDRESS = {Herschey, PA},
PUBLISHER = {IGI Publishing},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/AOC.pdf},
ABSTRACT = {This chapter introduces a new way of thinking about software systems for supporting the activities of end-users. In this approach, models of user activities are promoted to first class entities, and software systems are assembled and configured dynamically based on activity models. This constitutes a fundamental change of perspective over traditional applications: activities take the main stage and may be long-lived, whereas the agents that carry them out are plentiful and interchangeable. The core of the chapter describes a closed-loop control design that enables activity-oriented systems to become self-aware and self-configurable, and to adapt to dynamic changes both in the requirements of user activities and in the environment resources. The chapter discusses how that design addresses challenges such as user mobility, resolving conflicts in accessing scarce resources, and robustness in the broad sense of responding adequately to user expectations, even in unpredictable situations, such as random failures, erroneous user input, and continuously changing resources. The chapter further summarizes challenges and ongoing work related to managing activities where humans and automated agents collaborate, human-computer interactions for managing activities, and privacy and security aspects.},
NOTE = {Book link: http://www.igi-pub.com/books/details.asp?ID=7314},
KEYWORDS = {Aura, Ubiquitous Computing}
}
@InProceedings{Sousa2008-WICSA,
AUTHOR = {Sousa, Jo\~{a}o and Schmerl, Bradley and Poladian, Vahe and Brodsky, Alex},
TITLE = {UDesign: End-User Design Applied to Monitoring and Control Applications for Smart Spaces},
YEAR = {2008},
MONTH = {18-22 February},
BOOKTITLE = {Proceedings of the 2008 Working IFIP/IEEE Conference on Software Architecture},
ADDRESS = {Vancouver, BC, Canada},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/uDesign-final.pdf},
ABSTRACT = {This paper introduces an architectural style for enabling end-users to quickly design and deploy software systems in domains characterized by highly personalized and dynamic requirements.
The style offers an intuitive metaphor based on boxes, pipes, and wires, but retains enough preciseness that systems can be automatically assembled and dynamically reconfigured based on uDesign descriptions. uDesign was primarily motivated and validated within monitoring and control applications for smart spaces, but we envision possible extensions to other domains.
Our contribution differs from early attempts at end-user programming in the level of abstraction, software architecture rather than programming, and in the subject of description: run-time rather than code structures.
To validate the approach, the paper presents (a) two case studies, one in health care and one in home security, (b) the formal semantics of uDesign’s primitives, and (c) a mapping of those primitives to an existing software infrastructure: the Aura infrastructure.},
KEYWORDS = {Architectural Style, Aura, Service Composition, Ubiquitous Computing}
}
@InProceedings{Sousa2008a,
AUTHOR = {Sousa, Jo\~{a}o and Poladian, Vahe and Garlan, David and Schmerl, Bradley and Steenkiste, Peter},
TITLE = {Steps toward Activity-Oriented Computing},
YEAR = {2008},
MONTH = {14 April},
BOOKTITLE = {Proceedings of the 2008 NSF Next Generation Software Program Workshop},
ADDRESS = {Miami, FL},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/IPDPS-web.pdf},
ABSTRACT = {Most pervasive computing technologies focus on helping users with computer-oriented tasks. In this NSF-funded project, we instead focus on using computers to support user-centered “activities” that normally do not involve the use of computers. Examples may include everyday tasks around such as answering the doorbell or doing laundry. A focus on activity-based computing brings to the foreground a number of unique challenges. These include activity definition and representation, system design, interfaces for managing activities, and ensuring robust operation. Our project focuses on the first two challenges.},
KEYWORDS = {Aura, Ubiquitous Computing}
}
@InProceedings{Sousa2008b,
AUTHOR = {Sousa, Jo\~{a}o and Balan, Rajesh and Poladian, Vahe and Garlan, David and Satyanarayanan, Mahadev},
TITLE = {User Guidance of Resource-Adaptive Systems},
YEAR = {2008},
MONTH = {July},
BOOKTITLE = {ICSOFT'08 International Conference on Software and Data Technologies},
ADDRESS = {Porto, Portugal},
ABSTRACT = {This paper presents a framework for engineering resource-adaptive software systems targeted at small
mobile devices. The proposed framework empowers users to control tradeoffs among a rich set of servicespecific
aspects of quality of service. After motivating the problem, the paper proposes a model for
capturing user preferences with respect to quality of service, and illustrates prototype user interfaces to elicit
such models. The paper then describes the extensions and integration work made to accommodate the
proposed framework on top of an existing software infrastructure for ubiquitous computing.
The research question addressed here is the feasibility of coordinating resource allocation and
adaptation policies in a way that end-users can understand and control in real time. The evaluation covered
both systems and the usability perspectives, the latter by means of a user study. The contributions of this
work are: first, a set of design guidelines for resource-adaptive systems, including APIs for integrating new
applications; second, a concrete infrastructure that implements the guidelines. And third, a way to model
quality of service tradeoffs based on utility theory, which our research indicates end-users with diverse
backgrounds are able to leverage for guiding the adaptive behaviors towards activity-specific quality goals.},
KEYWORDS = {Aura, Resource Aware Computing}
}
@InCollection{Sousa-SDT2009,
AUTHOR = {Sousa, Jo\~{a}o and Balan, Rajesh Krishna and Poladian, Vahe and Garlan, David and Satyanarayanan, Mahadev},
TITLE = {A Software Infrastructure for User-Guided Quality-of-Service Tradeoffs},
YEAR = {2009},
BOOKTITLE = {Software and Data Technologies},
VOLUME = {47},
PAGES = {48-61},
EDITOR = {Cordeiro, J.},
SERIES = {CCIS},
PUBLISHER = {Springer},
PDF = {http://acme.able.cs.cmu.edu/pubs/uploads/pdf/SIUGQoST.pdf},
ABSTRACT = {This paper presents a framework for engineering resource-adaptive software targeted at small mobile devices. Rather than building a solution from scratch, we extend and integrate existing work on software infrastructures for ubiquitous computing, and on resource-adaptive applications.
This paper addresses two research questions: first, is it feasibility to coordinate resource allocation and adaptation policies among several applications in a way that is both effective and efficient. And second, can end-users understand and control such adaptive behaviors dynamically, depending on user-defined goals for each activity. The evaluation covered both the systems and the usability perspectives, the latter by means of a user study.
The contributions of this work are: first, a set of design guidelines, including APIs for integrating new applications; second, a concrete infrastructure that implements the guidelines. And third, a way to model quality of service tradeoffs based on utility theory, which our research indicates end-users with diverse backgrounds are able to leverage for guiding the adaptive behaviors towards activity-specific quality goals.},
KEYWORDS = {Activity-oriented Computing, Self-awareness & Adaptation, Software Architecture, Ubiquitous Computing, Usability}
}
@InCollection{Lemos13,
AUTHOR = {de Lemos, Rog\'{e}rio and Giese, Holger and Muller, Hausi A. and Shaw, Mary and Andersson, Jesper and Baresi, Luciano and Becker, Basil and Bencomo, Nelly and Brun, Yuriy and Cukic, Bojan and Desmarais, Ron and Dustdar, Schahram and Engels, Gregor and Geihs, Kurt and Goeschka, Karl M. and Gorla, Alessandra and Grassi, Vincenzo and Inverardi, Paola and Karsai, Gabor and Kramer, Jeff and Litoiu, Marin and Lopes, Ant\'{o}nia and Magee, Jeff and Malek, Sam and Mankovskii, Serge and Mirandola, Raffaela and Mylopoulos, John and Nierstrasz, Oscar and Pezz, Mauro and Prehofer, Christian and Schafer, Wilhelm and Schlichting, Rick and Schmerl, Bradley and Smith, Dennis B. and Sousa, Jo\~{a}o and Tamura, Gabriel and Tahvildari, Ladan and Villegas, Norha M. and Vogel, Thomas and Weyns, Danny and Wong, Kenny and Wuttke, Jochen},
TITLE = {Software engineering for self-adaptive systems: A second research roadmap},
YEAR = {2013},
BOOKTITLE = {Software Engineering for Self-Adaptive Systems II},
VOLUME = {7475},
PAGES = {1--32},
EDITOR = {de Lemos, Rog\'{e}rio and Giese, Holger and Muller, Hausi A. and Shaw, Mary},
PUBLISHER = {Springer-Verlag},
ABSTRACT = {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.},
KEYWORDS = {Self-adaptation}
}