Unifying design and runtime software adaptation using aspect models

Parra, Carlos; Blanc, Xavier; Cleve, Anthony; Duchien, Laurence

doi:10.1016/j.scico.2010.12.005

Cited by 29 publications

(17 citation statements)

References 13 publications

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“…Parra et al [26,27] Uses feature models at runtime for variability modeling, feature model con¯guration for variant selection, uses aspect model weaving to generate system architecture.…”

Section: Generalmentioning

confidence: 99%

Dynamic Software Product Line Engineering: A Reference Framework

Bashari

Bagheri

2017

Int. J. Soft. Eng. Knowl. Eng.

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Runtime adaptive systems are able to dynamically transform their internal structure, and hence their behavior, in response to internal or external changes. Such transformations provide the basis for new functionalities or improvements of the non-functional properties that match operational requirements and standards. Software Product Line Engineering (SPLE) has introduced several models and mechanisms for variability modeling and management. Dynamic software product lines (DSPL) engineering exploits the knowledge acquired in SPLE to develop systems that can be context-aware, post-deployment recon¯gurable, or runtime adaptive. This paper focuses on DSPL engineering approaches for developing runtime adaptive systems and proposes a framework for classifying and comparing these approaches from two distinct perspectives: adaptation properties and adaptation realization. These two perspectives are linked together by a series of guidelines that help to select a suitable adaptation realization approach based on desired adaptation types.

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“…Parra et al [26,27] Uses feature models at runtime for variability modeling, feature model con¯guration for variant selection, uses aspect model weaving to generate system architecture.…”

Section: Generalmentioning

confidence: 99%

Dynamic Software Product Line Engineering: A Reference Framework

Bashari

Bagheri

2017

Int. J. Soft. Eng. Knowl. Eng.

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“…Several approaches are based on SPL engineering to develop adaptive software. Parra et al [3] propose an approach to build a dynamic SPL. In this approach, activities such as analysis, composition generation, transformation, and runtime reconfiguration are separated into domain engineering and application engineering processes as in SPL engineering.…”

Section: Related Workmentioning

confidence: 99%

“…Several works are interested in determining when the architecture reconfiguration can occur [1], [2]. Other works are interested in tools and methods to develop an ASA [3], [4], [5]. Particularly, they allow specifying variation points in the software architecture.…”

Section: Introductionmentioning

confidence: 99%

A Development Process Based on Variability Modeling for Building Adaptive Software Architectures

Huynh

Segarra

Beugnard

2016

Annals of Computer Science and Information Systems

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Abstract-Adaptive software is a class of software which is able to dynamically modify at runtime its own internal structure and hence its behavior in response to changes in its operating environment. Adaptive software development has been an emerging research area of software engineering in the last decade. Many existing approaches use techniques issued from software product lines (SPLs) to develop adaptive software. They propose tools, frameworks or languages to build adaptive software architectures (ASAs) but do not guide developers on the process of using them. In this paper, we propose an adaptive software architecture development process to guide developers building an ASA. One of the important activities of this development process is software specification based on models. In our process, we propose to use the models and basic tools of Common Variability Language (CVL, proposed as an OMG standard) to generate an ASA and a subprocess to specify these models.

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“…This can be done through the use of structural or behavioral aspect weavers [11], [21], [22] or simply chosen amongst pre-validated configurations in a repository. Finally, it is important to ensure that these configurations are consistent, before going further in the adaptation process [23].…”

Section: A a Das Mape Loopmentioning

confidence: 99%

Towards flexible evolution of Dynamically Adaptive Systems

Perrouin

Morin

Chauvel

et al. 2012

2012 34th International Conference on Software Engineering (ICSE)

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Abstract-Modern software systems need to be continuously available under varying conditions. Their ability to dynamically adapt to their execution context is thus increasingly seen as a key to their success. Recently, many approaches were proposed to design and support the execution of Dynamically Adaptive Systems (DAS). However, the ability of a DAS to evolve is limited to the addition, update or removal of adaptation rules or reconfiguration scripts. These artifacts are very specific to the control loop managing such a DAS and runtime evolution of the DAS requirements may affect other parts of the DAS. In this paper, we argue to evolve all parts of the loop. We suggest leveraging recent advances in model-driven techniques to offer an approach that supports the evolution of both systems and their adaptation capabilities. The basic idea is to consider the control loop itself as an adaptive system.

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Unifying design and runtime software adaptation using aspect models

Cited by 29 publications

References 13 publications

Dynamic Software Product Line Engineering: A Reference Framework

Dynamic Software Product Line Engineering: A Reference Framework

A Development Process Based on Variability Modeling for Building Adaptive Software Architectures

Towards flexible evolution of Dynamically Adaptive Systems

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