Self-adaptive software challenges and approaches
CiteSeerX — Self-Adaptive Software: Landscape and Research Challenges
... operating self-adaptive software ...that self-adaptive software is inherently interdisciplinary, and the combination of disciplines highly depends on the design metaphors adopted ...
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Comparison of approaches for developing self-adaptive systems
... such approaches is taken care of similarly. Further, none of the approaches except FESAS focuses on reusing existing code for the algorithms of MAPE components, so reusability on a low ...these ...
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Software Engineering for Self Adaptive Systems
... to software engineering for self-adaptive systems that we did not cover, some of which we now mention, and which can be con- sidered key challenges on their ...way self-adaptive ...
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Reflecting on Self-Adaptive Software Systems
... 4.1. Self-Healing Traffic Monitoring Cameras Providing scalable solutions for traffic monitoring is an important challenge in intelligent transportation ...a software agent is deployed that is able to ...
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Comparison of approaches for self-improvement in self-adaptive systems (extended version)
... The comparison showed that most of the approaches use an external, centralized approach for control. Decision criteria as well as reason indicate use case specific implementations. Here, future work could ...
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Architectural stability of self-adaptive software systems
... 7.2.3 Meta-Self-Awareness for Managing Trade-offs between Sta- bility Attributes We investigate the use of game theory to achieve an equilibrium point between differ- ent stability quality attributes, i.e. ...
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Software Engineering Processes for Self-adaptive Systems
... The research challenge in this area is to formulate a VBSE theory and pro- cess for engineering self adaptive systems. We have described above some specific extensions to the SPEM meta-model that support ...
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Self-adaptive software needs quantitative verification at runtime
... Quantitative Verification at Runtime Quantitative verification is a math- ematically based technique for ana- lyzing the correctness, performance, and reliability of systems exhibiting stochastic behavior. 21 Technique ...
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Self-adaptive software needs quantitative verification at runtime
... of software-as-a-service with a perception of the platform and infrastructure on which the software is run as services ...solutions. Self-adaption cannot be seen only at application level, but we ...
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Software Engineering for Self-Adaptive Systems: A Research Roadmap
... advanced and predictive models of adaptation are needed for systems. • Dependability: Adapting safety-critical software systems while ensuring the safety requirements have remained largely an out-of- reach goal ...
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Adaptive Approaches of Built-In-Self-Test for Low Power Integrated Circuits
... Abstract— A new low-power (LP) scan-based built-in self- test (BIST) technique is proposed based on weighted pseudo- random test pattern generation and reseeding. A new LP scan architecture is proposed, which ...
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Engineering Trustworthy Self-Adaptive Software with Dynamic Assurance Cases
... of self-adaptive software systems and dynamic assurance cases across application domains? As the focus of our evaluation was the ENTRUST method- ology and its tool-supported instance, we necessarily ...
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A Framework for Evaluating Quality-Driven Self-Adaptive Software Systems
... of self-adaptation; for instance, from our analysis it resulted not possible to identify any measurable relation- ship between the adaptation goals and the evaluation of the adaptation strategies as ...
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A Framework for Evaluating Model-Driven Self-adaptive Software Systems
... limited software developers from employing MDA-approaches in several ...MDD-based approaches proposed in the literature suffer from a number of ...the software models can become completely ...
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A Model-Based Framework for Building Self-Adaptive Distributed Software
... generates new plans if none of the existing plans can address the current situation, or a new system goal is introduced. Also, we have proposed a three layer architecture model where the bottom layer is the application ...
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A Framework for Automatic Generation of Processes for Self-Adaptive Software Systems
... for self-adaptive software systems has pro- duced quite promising results, we have identified a couple of limitations that if properly handled could enhance over- all effectiveness of the ...
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10431 Abstracts Collection -- Software Engineering for Self-Adaptive Systems
... todays software- intensive systems. Such self-adaptive systems can configure and reconfigure themselves, augment their functionality, continually optimise themselves, protect themselves, and re- ...
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Policy-based managers coordination for self-adaptive software approach
... Existing works in developing adaptive systems have several challenges that must be addressed appropriately. The most fundamental challenge is to verify whether the system is operating as required (Khakpour ...
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08031 Abstracts Collection -- Software Engineering for Self-Adaptive Systems
... This work builds a paradigm of dynamic analysis for a neuro-adaptive con- troller where dierent types of learning are to be employed for its online neural networks. We use support vector data description as the ...
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Robustness-Driven Resilience Evaluation of Self-Adaptive Software Systems
... in self- adaptive systems rely on the analysis of non-functional prop- erties, and are based either on modeling or direct measurement of an existing ...of adaptive service-based ...the ...
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