Modelling Self-Adaptivity: A Goal-Oriented Approach

Morandini, Mirko; Penserini, Loris; Perini, Anna

doi:10.1109/saso.2008.67

Cited by 19 publications

(8 citation statements)

References 5 publications

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“…For requirements engineering, Berry et al [1] have defined a framework of discourse for DAS requirements. Goal-based modeling has been used for specifying the adaptation choices that a DAS must make [9], [15], [18], [26] as well as for the specification of monitoring and switching between adaptive behaviours [20]. A particular strength of goal-based modeling is that it supports the modeling of non-functional trade-offs, which can be used to capture some elements of environmental uncertainty.…”

Section: Related Workmentioning

confidence: 99%

RELAX: Incorporating Uncertainty into the Specification of Self-Adaptive Systems

Whittle

Sawyer

Bencomo

et al. 2009

2009 17th IEEE International Requirements Engineering Conference

215

158

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Self-adaptive systems have the capability to autonomously modify their behaviour at run-time in response to changes in their environment. Self-adaptation is particularly necessary for applications that must run continuously, even under adverse conditions and changing requirements; sample domains include automotive systems, telecommunications, and environmental monitoring systems. While a few techniques have been developed to support the monitoring and analysis of requirements for adaptive systems, limited attention has been paid to the actual creation and specification of requirements of self-adaptive systems. As a result, self-adaptivity is often constructed in an ad-hoc manner. In this paper, we argue that a more rigorous treatment of requirements explicitly relating to self-adaptivity is needed and that, in particular, requirements languages for self-adaptive systems should include explicit constructs for specifying and dealing with the uncertainty inherent in self-adaptive systems. We present RELAX, a new requirements language for selfadaptive systems and illustrate it using examples from the smart home domain.

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Section: Related Workmentioning

confidence: 99%

RELAX: Incorporating Uncertainty into the Specification of Self-Adaptive Systems

Whittle

Sawyer

Bencomo

et al. 2009

2009 17th IEEE International Requirements Engineering Conference

215

158

View full text Add to dashboard Cite

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“…For KAOS and Tropos, the development process covers all phases from requirements to implementation; special focus is put on the identification of stakeholders and the specification of the environment in the early requirements phases. Neither KAOS nor Tropos offer direct support for adaptation, but in [24,58] it is shown how to use KAOS for developing dynamic self-adaptive systems, while a Tropos extension, called Tropos4AS, is presented in [57] as a tool for engineering self-adaptive systems. ADELFE [11] is a methodology for developing selforganising cooperative and thus collective multi-agent systems.…”

Section: Goal-oriented Methodsmentioning

confidence: 99%

Rigorous engineering of collective adaptive systems: special section

Nicola

Jähnichen

Wirsing

2020

Int J Softw Tools Technol Transfer

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An adaptive system is able to adapt at runtime to dynamically changing environments and to new requirements. Adaptive systems can be single adaptive entities or collective ones that consist of several collaborating entities. Rigorous engineering requires appropriate methods and tools that help guaranteeing that an adaptive system lives up to its intended purpose. This paper introduces the special section on "Rigorous Engineering of Collective Adaptive Systems." It presents the seven contributions of the section and gives a short overview of the field of rigorously engineering collective adaptive systems by structuring it according to three topics: systematic development, methods and theories for modelling and analysis, and techniques for programming and operating collective adaptive systems.

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“…In the area of requirements engineering for self-adaptive systems, goal-oriented approaches have been extensively investigated in the recent past (e.g., [42,53,17,25,6]), typically extending over existing goal-oriented approaches [64].…”

Section: Goal-oriented Requirements Engineeringmentioning

confidence: 99%