Requirements-Driven Qualitative Adaptation

Souza, Vítor E. Silva; Lapouchnian, Alexei; Mylopoulos, John

doi:10.1007/978-3-642-33606-5_21

Cited by 16 publications

(14 citation statements)

References 26 publications

(30 reference statements)

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“…Adaptation capabilities may be considered as predictive or reactive, depending on the emergent properties that trigger the necessity for adaptation. In extending e-CORE we envision considering similar works in the area of requirements for selfawareness [35].…”

Section: Discussionmentioning

confidence: 99%

Requirements Engineering for Cyber Physical Production Systems

Loucopoulos¹,

Kavakli

Chechina

2019

Advanced Information Systems Engineering

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Traditional manufacturing and production systems are in the throes of a digital transformation. By blending the real and virtual production worlds, it is now possible to connect all parts of the production process: devices, products, processes, systems and people, in an informational ecosystem. This paper examines the underpinning issues that characterise the challenges for transforming traditional manufacturing to a Cyber Physical Production System. Such a transformation constitutes a major endeavour for requirements engineers who need to identify, specify and analyse the effects that a multitude of assets need to be transformed towards a network of collaborating devices, information sources, and human actors. The paper reports on the e-CORE approach which is a systematic, analytical and traceable approach to Requirements Engineering and demonstrates its utility using an industrial-size application. It also considers the effect of Cyber Physical Production Systems on future approaches to requirements in dealing with the dynamic nature of such systems.

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Section: Discussionmentioning

confidence: 99%

Requirements Engineering for Cyber Physical Production Systems

Loucopoulos¹,

Kavakli

Chechina

2019

Advanced Information Systems Engineering

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“…al. [24] and [25] proposed a new type of requirement for self-adaptive systems called Awareness Requirement, which can be self-managed and/or manage other system requirements in relation to success or failure of execution. The authors developed a framework that provides qualitative adaptation to target systems based on information from their requirement models.…”

Section: Related Workmentioning

confidence: 99%

Self-adaptive software: development approach and automatic process for adaptation at runtime

Affonso

Nakagawa

2015

Revista Brasileira De Computação Aplicada

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O desenvolvimento de um Software autoadaptativo (Sa) é uma tarefa complexa, pois este tipo de software lida constantemente com mudanças estruturais e/ou comportamentais em tempo de execução para que as necessidades de seus usuários ou do ambiente de execução sejam atendidas. Embora existam importantes iniciativas na área de Engenharia de Software para Sa (ES4Sa), incluindo abordagens, processos, métodos, e técnicas para o desenvolvimento de Sa que podem ser encontrados na literatura, as abordagens com suporte automatizado necessitam ser melhor exploradas, pois representam uma alternativa factível para maximizar a velocidade de implementação de tais sistemas e, ao mesmo tempo, para minimizar o envolvimento dos desenvolvedores. Embasado nesse cenário, o presente artigo apresenta uma abordagem com suporte automatizado para o desenvolvimento de Sa. Tal abordagem atua sobre uma modalidade de adaptação controlada, ou seja, os engenheiros de software definem os níveis de adaptação suportados pelo Sa (ou seja, cada entidade de software) na fase de desenvolvimento para que este possa ser adaptado automaticamente sem a participação de seres humano (desenvolvedores). Como forma de avaliar nossa abordagem, estudos de caso foram conduzidos e os resultados mostram que esta pode contribuir de forma eficaz para a área de ES4Sa.Palavras-chave: Abordagem de desenvolvimento. Processo de adaptação automática. Software autoadaptativo.Abstract: The development of Self-adaptive Software (SaS) is a complex task, since this type of software constantly deals with structural and/or behavioral changes at runtime so that the needs of its users or its execution environment are met. Although important initiatives in the area of Software Engineering for SaS (SE4SaS), including approaches, processes, methods, and techniques for the SaS development, can be found in the literature. Approaches with automated support need to be explored, since they are an alternative to maximize the speed of SaS implementation and, at the same time, minimize the involvement of developers. Based on this scenario, this article presents an approach with automated support for the SaS development. It acts on a controlled adaptation modality, i.e., software engineers define the adaptation level supported by SaS in the development stage and the SaS can be automatically adapted without the participation of developers. Case studies were conducted for the evaluation of our approach. The results show that this approach can effectively contribute to the SE4SaS area.

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“…Chen et al (2011) proposed a requirements-driven selfoptimization approach to achieve survivability assurance for Web systems. Souza et al (2011) proposed a systematic system identification method for self-adaptive systems to identify configuration parameters and target outputs as well as their qualitative relations, which can be used to dynamically tune these parameters in cases of requirements deviations (Souza et al, 2012). Fu et al (2012) proposed a stateful requirements monitoring approach for decentralized self-repairing of socio-technical systems.…”

Section: Goal-driven Self-adaptationmentioning

confidence: 99%

Uncertainty handling in goal-driven self-optimization – Limiting the negative effect on adaptation

Chen

Peng

et al. 2014

Journal of Systems and Software

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Goal-driven self-optimization through feedback loops has shown effectiveness in reducing oscillating utilities due to a large number of uncertain factors in the runtime environments. However, such self-optimization is less satisfactory when there contains uncertainty in the predefined requirements goal models, such as imprecise contributions and unknown quality preferences, or during the switches of goal solutions, such as lack of understanding about the time for the adaptation actions to take effect. In this paper, we propose to handle such uncertainty in goal-driven self-optimization without interrupting the services. Taking the monitored quality values as the feedback, and the estimated earned value as the global indicator of self-optimization, our approach dynamically updates the quantitative contributions from alternative functionalities to quality requirements, tunes the preferences of relevant quality requirements, and determines a proper timing delay for the last adaptation action to take effect. After applying these runtime measures to limit the negative effect of the uncertainty in goal models and their suggested switches, an experimental study on a real-life online shopping system shows the improvements over goal-driven self-optimization approaches without uncertainty handling.

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Requirements-Driven Qualitative Adaptation

Cited by 16 publications

References 26 publications

Requirements Engineering for Cyber Physical Production Systems

Requirements Engineering for Cyber Physical Production Systems

Self-adaptive software: development approach and automatic process for adaptation at runtime

Uncertainty handling in goal-driven self-optimization – Limiting the negative effect on adaptation

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