Modeling Dimensions of Self-Adaptive Software Systems

Andersson, Jesper; Lemos, Rogério de; Malek, Sam; Weyns, Danny

doi:10.1007/978-3-642-02161-9_2

Cited by 146 publications

(103 citation statements)

References 21 publications

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“…For example, Andersson et al [1] defined a set of modeling dimensions for self-adaptive software systems. The identified dimensions were organized into four categories: the self-adaptive goals of the system, the causes or triggers of self-adaptation, the mechanisms used to adapt, and the effects of those mechanisms on the system.…”

Section: Design Space Definitionsmentioning

confidence: 99%

Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

Lemos¹,

Giese²,

Müller³

et al. 2013

Lecture Notes in Computer Science

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488

347

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Abstract. The goal of this roadmap paper is to summarize the stateof-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.

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Section: Design Space Definitionsmentioning

confidence: 99%

Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

Lemos¹,

Giese²,

Müller³

et al. 2013

Lecture Notes in Computer Science

Self Cite

488

347

View full text Add to dashboard Cite

show abstract

“…The adaptations that these systems perform during executions are not included in the requirements for which these systems are developed [24]. This variability makes the development of these systems challenging as the development team has to plan for the uncertainties that may arise at run time [30], [15]. Hence, major part of the requirement engineering has to completed at run time [31].…”

Section: IIImentioning

confidence: 99%

Agent based Architecture for Modeling and Analysis of Self Adaptive Systems using Formal Methods

Mian¹,

Ahmad²

2018

ijacsa

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Abstract-Self-adaptive systems (SAS) can modify their behavior during execution; this modification is done because of change in internal or external environment. The need for selfadaptive software systems has increased tremendously in last decade due to ever changing user requirements, improvement in technology and need for building software that reacts to user preferences. To build this type of software we need well establish models that have the flexibility to adjust to the new requirements and make sure that the adaptation is efficient and reliable. Feedback loop has proven to be very effective in modeling and developing SAS, these loops help the system to sense, analyze, plan, test and execute the adaptive behavior at runtime. Formal methods are well defined, rigorous and reliable mathematical techniques that can be effectively used to reason and specify behavior of SAS at design and run-time. Agents can play an important role in modeling SAS because they can work independently, with other agents and with environment as well. Using agents to perform individual steps in feedback loop and formalizing these agents using Petri nets will not only increase the reliability, but also, the adaptation can be performed efficiently for taking decisions at run time with increased confidence. In this paper, we propose a multi-agent framework to model self-adaptive systems using agent based modeling. This framework will help the researchers in implementation of SAS, which is more dependable, reliable, autonomic and flexible because of use of multi-agent based formal approach.

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“…Self-adaptation can be considered from two perspectives [30]: (1) the ability of a system to adjust its behaviour in response to the perception of the environment and the system itself [3,15]; the self prefix indicates that the system decides and adapts autonomously (i.e., without or with minimal interference of humans) [2], and (2) the mechanisms that are used to realises self-adaptation, typically by means of a closed feedback loop [8,1,32], i.e. there is an explicit separation between a part of the system that deals with the domain concerns (goals for which the system is built) and a part that deals the adaptation concerns (the way the system realises its goals under changing conditions).…”

Section: Background On Self-adaptationmentioning

confidence: 99%

Self-managing Internet of Things

Weyns

Ramachandran

Singh

2017

SOFSEM 2018: Theory and Practice of Computer Science

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Abstract. Internet of Things (IoT) are in full expansion. Applications range from factory floors to smart city environments. IoT applications consist of battery powered small computing devices (motes) that communicate wirelessly and interact with the environment through sensors and actuators. A key challenge that IoT engineers face is how to manage such systems that are subject to inherent uncertainties in their operation contexts, such as interferences and dynamic traffic in the network. Often these uncertainties are difficult to predict at development time. In practice, IoT applications are therefore typically over-provisioned at deployment; however, this leads to inefficiency. In this paper, we make a case for IoT applications that manage themselves at runtime to deal with uncertainties. We contribute: (1) a set of concerns that motivate the need for self-management for IoT systems, (2) three initial approaches that illustrate the potential of realising self-managing IoT systems, and (3) a set of open challenges for future research on self-adaptation in IoT.

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Modeling Dimensions of Self-Adaptive Software Systems

Cited by 146 publications

References 21 publications

Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

Agent based Architecture for Modeling and Analysis of Self Adaptive Systems using Formal Methods

Self-managing Internet of Things

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