Relevant bibliographies by topics / Adaptive software architecture

Academic literature on the topic 'Adaptive software architecture'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Adaptive software architecture"

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Ahmadi, Reza, Oliver Marquardt, Marc Riedlinger, and Reinhard Reichel. "An Adaptive Software Architecture for Future CMS." SAE International Journal of Aerospace 8, no. 2 (September 15, 2015): 260–72. http://dx.doi.org/10.4271/2015-01-2545.

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Fitzpatrick, T., G. S. Blair, G. Coulson, N. Davies, and P. Robin. "Software architecture for adaptive distributed multimedia systems." IEE Proceedings - Software 145, no. 5 (1998): 163. http://dx.doi.org/10.1049/ip-sen:19982299.

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Tak, Sung Woo, and Eun Kyo Park. "Adaptive secure software architecture for electronic commerce." Software: Practice and Experience 33, no. 14 (2003): 1343–57. http://dx.doi.org/10.1002/spe.551.

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HUANG, Shuang-Xi. "Research on Generic Adaptive Software Architecture Style." Journal of Software 17, no. 6 (2006): 1338. http://dx.doi.org/10.1360/jos171338.

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JIANG, CHANG-HAI, HAI HU, KAI-YUAN CAI, DAZHI HUANG, and STEPHEN S. YAU. "AN INTELLIGENT CONTROL ARCHITECTURE FOR ADAPTIVE SERVICE-BASED SOFTWARE SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 19, no. 05 (August 2009): 653–78. http://dx.doi.org/10.1142/s0218194009004337.

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Service-oriented architecture (SOA) for distributed computing has become increasingly popular due to the big advantage that distributed applications can be rapidly synthesized with the needed services provided by various service providers through heterogeneous networks. Systems based on SOA are called Service-based Systems (SBS), and a special variety of SBS, namely the Adaptive Service-Based Systems (ASBS), is aimed to be adaptable to constantly changing user requirements, environments and resource constraints. An important and difficult issue is how to design and develop ASBS to satisfy multiple QoS requirements in an open dynamic environment. In this paper, inspired by the underlying principle of hierarchical intelligent control, a three-layer architecture for developing and deploying ASBS is presented to address this issue. Compared with existing architectures for SBS, the advantage of using our architecture is that it provides the flexibility for system designers to adopt different control based approaches to guarantee user requirements and satisfy resource constraints at different levels of the system. Moreover, our architecture enables the system to take hierarchical adaptation actions at runtime to avoid possible violation of user requirement or resource constraint. An example is given to illustrate how to adopt our architecture to guide the design of a simple ASBS, and preliminary experimental data are presented to demonstrate the feasibility of developing ASBS based on our architecture.
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Palopoli, L., T. Cucinotta, L. Marzario, and G. Lipari. "AQuoSA-adaptive quality of service architecture." Software: Practice and Experience 39, no. 1 (January 2009): 1–31. http://dx.doi.org/10.1002/spe.883.

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Lyle, Andrew C., and Michael D. Naish. "A Software Architecture for Adaptive Modular Sensing Systems." Sensors 10, no. 8 (August 10, 2010): 7514–60. http://dx.doi.org/10.3390/s100807514.

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Ye, Eun-Suk, Keun-Hyuk Yeom, and Mi-Kyeong Moon. "Product-Line Architecture Development for Self-Adaptive Software." KIPS Transactions:PartD 15D, no. 3 (June 30, 2008): 361–74. http://dx.doi.org/10.3745/kipstd.2008.15-d.3.361.

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CHANG, Zhi-Ming, Xin-Jun MAO, and Zhi-Chang QI. "Applying Bigraph Theory to Self-Adaptive Software Architecture." Chinese Journal of Computers 32, no. 1 (July 29, 2009): 97–106. http://dx.doi.org/10.3724/sp.j.1016.2009.00097.

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Oreizy, P., M. M. Gorlick, R. N. Taylor, D. Heimhigner, G. Johnson, N. Medvidovic, A. Quilici, D. S. Rosenblum, and A. L. Wolf. "An architecture-based approach to self-adaptive software." IEEE Intelligent Systems 14, no. 3 (May 1999): 54–62. http://dx.doi.org/10.1109/5254.769885.

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Dissertations / Theses on the topic "Adaptive software architecture"

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Williams, Denver Robert Edward. "An adaptive integration architecture for software reuse." Doctoral diss., University of Central Florida, 2001. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/4167.

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University of Central Florida College of Engineering Thesis
The problem of building large, reliable software systems in a controlled, cost effective way, the so-called software crisis problem, is one of computer science's great challenges. From the very outset of computing as science, software reuse has been touted as a means to overcome the software crisis issue
Ph.D.
Doctorate;
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering and Computer Science
221 p.
xix, 221 leaves, bound : ill. ; 28 cm.
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Colman, Alan Wesley. "Role oriented adaptive design." Australasian Digital Thesis Program, 2006. http://adt.lib.swin.edu.au/public/adt-VSWT20070320.110756/index.html.

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Thesis (Ph.D) - Swinburne University of Technology, Faculty of Information & Communication Technologies, 2006.
"October 2006". Submitted in fulfillment of the requirements of for the degree of Doctor of Philosophy, Faculty of Information and Communication Technologies, Swinburne University of Technology, 2006. Typescript. Includes bibliographical references (p. [229]-237) and index.
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Colman, Alan Wesley, and n/a. "Role oriented adaptive design." Swinburne University of Technology, 2006. http://adt.lib.swin.edu.au./public/adt-VSWT20070320.110756.

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Software systems are becoming inexorably more open, distributed, pervasive, mobile and connected. This thesis addresses the problem of how to build adaptive software systems. These systems need to reliably achieve system-level goals in volatile environments, where the system itself may be built from components of uncertain behaviour, and where the requirements for the software system may be changing. This thesis adopts the systemtheoretic concept of ontogenic adaptation from biology, and applies it to software architecture. Ontogenic adaptation is the ability of an individual system to maintain its organisational integrity by reconfiguring and regulating itself. A number of approaches to adaptive software architecture have been recently proposed that, to varying degrees, enable limited adaptive behaviour and reconfiguration, but none possess all the properties needed for ontogenic adaptation. We introduce a meta-model and framework called Role Oriented Adaptive Design (ROAD) that is consistent with the concept of maintaining organisational integrity through ontogenic adaptation. The ROAD meta-model defines software applications as networks of functional roles which are executed by players (objects, components, services, agents, people, or rolecomposites). These flexible organisational structures are adaptive because the relationships (contracts) between roles, and the bindings between roles and players, can be regulated and reconfigured at run-time. Such flexible organisational role-structures are encapsulated into composites each with its own organiser. Because self-managed composites are themselves role-players, these composites can be distributed and recursively composed. The organisers of the composites form a management system over which requirements and performance data pass. Rather than being monolithic constructions, ROAD software applications are dynamic, self-managed compositions of loosely-coupled, and potentially, distributed entities. The concepts in the ROAD meta-model have been implemented in a programming framework which can be extended by the application programmer to create adaptive applications. Central to this framework are dynamic contracts. These contracts define the role structure, control interactions between the role instances, and measure the performance of those interactions. Adaptivity is achieved by monitoring and manipulating these contracts, along with the role-player bindings. Contracts have been implemented using the mechanism of �association aspects�. The applicability of the ROAD framework to the domain of Service-Oriented Computing is demonstrated. The framework is further evaluated in terms of its ability to express the concept of ontogenic adaptation and also in terms of the overhead its runtime infrastructure imposes on interactions.
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Herring, Charles Edward. "Viable software : the intelligent control paradigm for adaptable and adaptive architecture /." [St. Lucia, Qld.], 2002. http://adt.library.uq.edu.au/public/adt-QU20020901.134215/index.html.

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Akour, Mohammed Abd Alwahab. "Towards Change Propagating Test Models In Autonomic and Adaptive Systems." Diss., North Dakota State University, 2012. https://hdl.handle.net/10365/26504.

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The major motivation for self-adaptive computing systems is the self-adjustment of the software according to a changing environment. Adaptive computing systems can add, remove, and replace their own components in response to changes in the system itself and in the operating environment of a software system. Although these systems may provide a certain degree of confidence against new environments, their structural and behavioral changes should be validated after adaptation occurs at runtime. Testing dynamically adaptive systems is extremely challenging because both the structure and behavior of the system may change during its execution. After self adaptation occurs in autonomic software, new components may be integrated to the software system. When new components are incorporated, testing them becomes vital phase for ensuring that they will interact and behave as expected. When self adaptation is about removing existing components, a predefined test set may no longer be applicable due to changes in the program structure. Investigating techniques for dynamically updating regression tests after adaptation is therefore necessary to ensure such approaches can be applied in practice. We propose a model-driven approach that is based on change propagation for synchronizing a runtime test model for a software system with the model of its component structure after dynamic adaptation. A workflow and meta-model to support the approach was provided, referred to as Test Information Propagation (TIP). To demonstrate TIP, a prototype was developed that simulates a reductive and additive change to an autonomic, service-oriented healthcare application. To demonstrate the generalization of our TIP approach to be instantiated into the domain of up-to-date runtime testing for self-adaptive software systems, the TIP approach was applied to the self-adaptive JPacman 3.0 system. To measure the accuracy of the TIP engine, we consider and compare the work of a developer who manually identifyied changes that should be performed to update the test model after self-adaptation occurs in self-adaptive systems in our study. The experiments show how TIP is highly accurate for reductive change propagation across self-adaptive systems. Promising results have been achieved in simulating the additive changes as well.
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Zhang, Jing. "Model-driven aspect adaptation to support modular software evolution." Birmingham, Ala. : University of Alabama at Birmingham, 2009. https://www.mhsl.uab.edu/dt/2009p/zhang.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2009.
Additional advisors: Barrett Bryant, Aniruddha Gokhale, Marjan Mernik, Chengcui Zhang. Description based on contents viewed June 3, 2009; title from PDF t.p. Includes bibliographical references (p. 161-177).
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Tao, Bo. "Feature Modeling For Adaptive Computing." Thesis, Växjö University, School of Mathematics and Systems Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:vxu:diva-2405.

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This report presents the results of a thesis project that surveys and designs about the issue “Feature Model for Adaptive Computing”. In this project, there are two main issues, first one is about the Feature Modeling, and the second is how to use this Feature Modeling for adaptive computing.

In this thesis report, at the beginning, we present the problem we expected to solve and introduce some background information, including the knowledge of feature model and adaptive computing. Then we explain our solution and evaluate this solution. At the end of this report, we give a short conclusion about our thesis project and feature work.

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Wagner, Marco [Verfasser]. "An adaptive software and system architecture for driver assistance systems applied to truck and trailer combinations / Marco Wagner." Koblenz : Universitätsbibliothek Koblenz, 2015. http://d-nb.info/1073133125/34.

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Weng, Lichen. "A Hardware and Software Integrated Approach for Adaptive Thread Management in Multicore Multithreaded Microprocessors." FIU Digital Commons, 2012. http://digitalcommons.fiu.edu/etd/653.

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The Multicore Multithreaded Microprocessor maximizes parallelism on a chip for the optimal system performance, such that its popularity is growing rapidly in high-performance computing. It increases the complexity in resource distribution on a chip by leading it to two directions: isolation and unification. On one hand, multiple cores are implemented to deliver the computation and memory accessing resources to more than one thread at the same time. Nevertheless, it limits the threads’ access to resources in different cores, even if extensively demanded. On the other hand, simultaneous multithreaded architectures unify the domestic execu- tion resources together for concurrently running threads. In such an environment, threads are greatly affected by the inter-thread interference. Moreover, the impacts of the complicated distribution are enlarged by variation in workload behaviors. As a result, the microprocessor requires an adaptive management scheme to schedule threads throughout different cores and coordinate them within cores. In this study, an adaptive thread management scheme was proposed, integrating both hardware and software approaches. The instruction fetch policy at the hardware level took the responsibility by prioritizing domestic threads, while the Operating System scheduler at the software level was used to pair threads dynami- vi cally to multiple cores. The tie between them was the proposed online linear model, which was dynamically constructed for every thread based on data misses by the regression algorithm. Consequently, the hardware part of the proposed scheme proactively granted higher priority to the threads with less predicted long-latency loads, expecting they would better utilize the shared execution resources. Mean- while, the software part was invoked by such a model upon significant changes in the execution phases and paired threads with different demands to the same core to minimize competition on the chip. The proposed scheme was compared to its peer designs and overall 43% speedup was achieved by the integrated approach over the combination of two baseline policies in hardware and software, respectively. The overhead was examined carefully regarding power, area, storage and latency, as well as the relationship between the overhead and the performance.
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Persson, Magnus. "Adaptive Middleware for Self-Configurable Embedded Real-Time Systems : Experiences from the DySCAS Project and Remaining Challenges." Licentiate thesis, KTH, Machine Design (Div.), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-11608.

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Development of software for embedded real-time systems poses severalchallenges. Hard and soft constraints on timing, and usually considerableresource limitations, put important constraints on the development. Thetraditional way of coping with these issues is to produce a fully static design,i.e. one that is fully fixed already during design time.Current trends in the area of embedded systems, including the emergingopenness in these types of systems, are providing new challenges for theirdesigners – e.g. integration of new software during runtime, software upgradeor run-time adaptation of application behavior to facilitate better performancecombined with more ecient resource usage. One way to reach these goals is tobuild self-configurable systems, i.e. systems that can resolve such issues withouthuman intervention. Such mechanisms may be used to promote increasedsystem openness.This thesis covers some of the challenges involved in that development.An overview of the current situation is given, with a extensive review ofdi erent concepts that are applicable to the problem, including adaptivitymechanisms (incluing QoS and load balancing), middleware and relevantdesign approaches (component-based, model-based and architectural design).A middleware is a software layer that can be used in distributed systems,with the purpose of abstracting away distribution, and possibly other aspects,for the application developers. The DySCAS project had as a major goaldevelopment of middleware for self-configurable systems in the automotivesector. Such development is complicated by the special requirements thatapply to these platforms.Work on the implementation of an adaptive middleware, DyLite, providingself-configurability to small-scale microcontrollers, is described andcovered in detail. DyLite is a partial implementation of the concepts developedin DySCAS.Another area given significant focus is formal modeling of QoS andresource management. Currently, applications in these types of systems arenot given a fully formal definition, at least not one also covering real-timeaspects. Using formal modeling would extend the possibilities for verificationof not only system functionality, but also of resource usage, timing and otherextra-functional requirements. This thesis includes a proposal of a formalismto be used for these purposes.Several challenges in providing methodology and tools that are usablein a production development still remain. Several key issues in this areaare described, e.g. version/configuration management, access control, andintegration between di erent tools, together with proposals for future workin the other areas covered by the thesis.


Utveckling av mjukvara för inbyggda realtidssystem innebär flera utmaningar.Hårda och mjuka tidskrav, och vanligtvis betydande resursbegränsningar,innebär viktiga inskränkningar på utvecklingen. Det traditionellasättet att hantera dessa utmaningar är att skapa en helt statisk design, d.v.s.en som är helt fix efter utvecklingsskedet.Dagens trender i området inbyggda system, inräknat trenden mot systemöppenhet,skapar nya utmaningar för systemens konstruktörer – exempelvisintegration av ny mjukvara under körskedet, uppgradering av mjukvaraeller anpassning av applikationsbeteende under körskedet för att nå bättreprestanda kombinerat med e ektivare resursutnyttjande. Ett sätt att nå dessamål är att bygga självkonfigurerande system, d.v.s. system som kan lösa sådanautmaningar utan mänsklig inblandning. Sådana mekanismer kan användas föratt öka systemens öppenhet.Denna avhandling täcker några av utmaningarna i denna utveckling. Enöversikt av den nuvarande situationen ges, med en omfattande genomgångav olika koncept som är relevanta för problemet, inklusive anpassningsmekanismer(inklusive QoS och lastbalansering), mellanprogramvara och relevantadesignansatser (komponentbaserad, modellbaserad och arkitekturell design).En mellanprogramvara är ett mjukvarulager som kan användas i distribueradesystem, med syfte att abstrahera bort fördelning av en applikation överett nätverk, och möjligtvis även andra aspekter, för applikationsutvecklarna.DySCAS-projektet hade utveckling av mellanprogramvara för självkonfigurerbarasystem i bilbranschen som ett huvudmål. Sådan utveckling försvåras avde särskilda krav som ställs på dessa plattformarArbete på implementeringen av en adaptiv mellanprogramvara, DyLite,som tillhandahåller självkonfigurerbarhet till småskaliga mikrokontroller,beskrivs och täcks i detalj. DyLite är en delvis implementering av konceptensom utvecklats i DySCAS.Ett annat område som får särskild fokus är formell modellering av QoSoch resurshantering. Idag beskrivs applikationer i dessa områden inte heltformellt, i varje fall inte i den mån att realtidsaspekter täcks in. Att användaformell modellering skulle utöka möjligheterna för verifiering av inte barasystemfunktionalitet, men även resursutnyttjande, tidsaspekter och andraicke-funktionella krav. Denna avhandling innehåller ett förslag på en formalismsom kan användas för dessa syften.Det återstår många utmaningar innan metodik och verktyg som är användbarai en produktionsmiljö kan erbjudas. Många nyckelproblem i områdetbeskrivs, t.ex. versions- och konfigurationshantering, åtkomststyrning ochintegration av olika verktyg, tillsammans med förslag på framtida arbete iövriga områden som täcks av avhandlingen.


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Books on the topic "Adaptive software architecture"

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David, Hutchison. Architectures for Adaptive Software Systems: 5th International Conference on the Quality of Software Architectures, QoSA 2009, East Stroudsburg, PA, USA, June 24-26, 2009 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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Mirandola, Raffaela, Ian Gorton, and Christine Hofmeister, eds. Architectures for Adaptive Software Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02351-4.

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Fearghal, Morgan, Amano Hideharu, El-Ghazawi Tarek, and SpringerLink (Online service), eds. Reconfigurable Computing: Architectures, Tools and Applications: 6th International Symposium, ARC 2010, Bangkok, Thailand, March 17-19, 2010. Proceedings. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2010.

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Luigi, Carro, ed. Dynamic reconfigurable architectures and transparent optimization techniques: Automatic acceleration of software execution. Dordrecht: Springer, 2010.

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Iacobucci, Maria Stella. Reconfigurable radio systems: Network architectures and standards. Chichester, West Sussex, United Kingdom: John Wiley & Sons, Ltd Publication, 2013.

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Inc, ebrary, ed. Zenoss Core network and system monitoring: A step-by-step guide to configuring, using, and adapting the free open-source network monitoring system. Birmingham, UK: Packt Publishing, 2008.

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Taylor, Matthew E. Adaptive and Learning Agents: Second Workshop, ALA 2009, Held as Part of the AAMAS 2009 Conference in Budapest, Hungary, May 12, 2009. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010.

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Matthew, Knudson, Grześ Marek, and SpringerLink (Online service), eds. Adaptive and Learning Agents: International Workshop, ALA 2011, Held at AAMAS 2011, Taipei, Taiwan, May 2, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Bereković, Mladen. Architecture of Computing Systems - ARCS 2011: 24th International Conference, Como, Italy, February 24-25, 2011. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.

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Agile Service Development Enterprise Engineering. Springer, 2012.

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Book chapters on the topic "Adaptive software architecture"

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Yoder, Joseph W., and Ralph Johnson. "The Adaptive Object-Model Architectural Style." In Software Architecture, 3–27. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-0-387-35607-5_1.

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Dixon, Kevin R., Theodore Q. Pham, and Pradeep K. Khosla. "Port-Based Adaptable Agent Architecture." In Self-Adaptive Software, 181–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-44584-6_14.

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Pahl, Claus. "Dynamic Adaptive Service Architecture – Towards Coordinated Service Composition." In Software Architecture, 472–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15114-9_43.

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Purhonen, Anu, and Sakari Stenudd. "Runtime Performance Management of Information Broker-Based Adaptive Applications." In Software Architecture, 203–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23798-0_21.

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Kacem, Najla Hadj, Ahmed Hadj Kacem, and Khalil Drira. "A Formal Approach to Enforcing Consistency in Self-adaptive Systems." In Software Architecture, 279–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15114-9_21.

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Di Marco, Antinisca, Francesco Gallo, Paola Inverardi, and Rodolfo Ippoliti. "Learning from the Cell Life-Cycle: A Self-adaptive Paradigm." In Software Architecture, 485–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15114-9_46.

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Arcelli, Davide. "A Multi-objective Performance Optimization Approach for Self-adaptive Architectures." In Software Architecture, 139–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58923-3_9.

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Cherfia, Taha Abdelmoutaleb, and Faïza Belala. "Towards a Bigraph-Based Model for Context-Aware Adaptive Systems." In Software Architecture, 340–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39031-9_34.

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Ehlers, Jens, and Wilhelm Hasselbring. "A Self-adaptive Monitoring Framework for Component-Based Software Systems." In Software Architecture, 278–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23798-0_30.

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Gerostathopoulos, Ilias, Dominik Skoda, Frantisek Plasil, Tomas Bures, and Alessia Knauss. "Architectural Homeostasis in Self-Adaptive Software-Intensive Cyber-Physical Systems." In Software Architecture, 113–28. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48992-6_8.

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Conference papers on the topic "Adaptive software architecture"

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Venero, Sheila K., Jane D. A. S. Eleutério, and Cecília M. F. Rubira. "Research contributions on adaptive software architectures." In ECSAW '16: European Conference on Software Architecture Workshops. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2993412.3004851.

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Xiang, Haiyun, Xiao Fu, and Xu Li. "Software Adaptive Mechanism Based on Software Architecture in Software Running Time." In 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/icmmcce-15.2015.275.

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Muccini, Henry, Romina Spalazzese, Mahyar T. Moghaddam, and Mohammad Sharaf. "Self-adaptive IoT architectures." In ECSA '18: 12th European Conference on Software Architecture. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3241403.3241424.

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Qiuhui Yu, Zheng Li, and Chengwan He. "An adaptive architecture of the networked software." In 2010 2nd International Conference on Industrial and Information Systems (IIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/indusis.2010.5565730.

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Raibulet, Claudia, and Francesca Arcelli Fontana. "Evaluation of self-adaptive systems." In ECSA '17: 11th European Conference on Software Architecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129790.3129825.

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Moghaddam, Fahimeh Alizadeh, Robert Deckers, Giuseppe Procaccianti, Paola Grosso, and Patricia Lago. "A domain model for self-adaptive software systems." In ECSA '17: 11th European Conference on Software Architecture. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3129790.3129824.

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Sharifloo, Amir Molzam. "Models for Self-Adaptive Systems." In ECSAW '15: 2015 European Conference on Software Architecture Workshops. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2797433.2797457.

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Roopa, Y. Mohana, and M. Ramesh Babu. "Self-test framework for self-adaptive software architecture." In 2017 International Conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2017. http://dx.doi.org/10.1109/iceca.2017.8212749.

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9

Lyle, Andrew C., and Michael D. Naish. "A software architecture for adaptive modular sensing systems." In 2007 IEEE International Conference on Systems, Man and Cybernetics. IEEE, 2007. http://dx.doi.org/10.1109/icsmc.2007.4413965.

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Liu, Duo, Chung-Horng Lung, and Samuel A. Ajila. "Adaptive Clustering Techniques for Software Components and Architecture." In 2015 IEEE 39th Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2015. http://dx.doi.org/10.1109/compsac.2015.256.

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