Opportunistic Software Composition: Benefits and Requirements

Triboulot, Charles; Trouilhet, Sylvie; Arcangeli, Jean‐Paul; Robert, Fabrice

doi:10.5220/0005558404260431

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…Opportunistic software composition is a disruptive approach for dynamic and automatic construction of component-based applications: unlike the traditional goal-directed topdown mode, applications are built on the fly in a bottom-up way from the components that are present and available at the time, without the user needs have to be made explicit [Triboulot et al, 2015]. That way, applications that may be unanticipated emerge from the environment, taking advantage of opportunities as they arise.…”

Section: Opportunistic Software Compositionmentioning

confidence: 99%

Model-Driven Engineering for End-Users in the Loop in Smart Ambient Systems

Trouilhet¹,

Arcangeli²,

Bruel³

et al. 2021

jucs

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At the heart of cyber-physical and ambient systems, the user should permanently benefit from applications adapted to the situation and her/his needs. To do this, she/he must be able to configure her/his software environment and be supported as much as possible in that task. To this end, an intelligent “engine” assembles software components that are present in the ambient environment at the time and makes unanticipated applications emerge. The problem is to put the user “in the loop”, i.e., provide adapted and intelligible descriptions of the emerging applications, and present them so that the user can accept, modify or reject them. Besides, user feedback must be collected to feed the engine’s learning process. Our approach relies on Model-Driven Engineering (MDE). However, differently from the regular use of MDE tools and techniques by engineers to develop software and generate code, our focus is on end-users. Models of component assemblies are represented and made editable for them. Based on a metamodel that supports modeling and de- scription of component-based applications, a user interface provides multi-faceted representations of the emerging applications and captures user feedback. Our solution relies on several domain- specific languages and a transformation process, based on the established MDE tools (Gemoc studio, Eclipse Modeling Framework, EcoreTools, Sirius, Acceleo). It works in conjunction with the intelligent engine that builds the emerging applications and to which it provides learning data.

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Section: Opportunistic Software Compositionmentioning

confidence: 99%

Model-Driven Engineering for End-Users in the Loop in Smart Ambient Systems

Trouilhet¹,

Arcangeli²,

Bruel³

et al. 2021

jucs

Self Cite

View full text Add to dashboard Cite

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Ambient Intelligence Users in the Loop: Towards a Model-Driven Approach

Koussaifi

Trouilhet

Arcangeli

et al. 2018

Software Technologies: Applications and Foundations

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Ambient and mobile systems consist of networked devices and software components surrounding human users and providing services. From the services present in the environment, other services can be composed opportunistically and automatically by an intelligent system, then proposed to the user. The latter must not only to be aware of existing services but also be kept in the loop in order to both control actively the services and influence the automated decisions. This paper first explores the requirements for placing the user in the ambient intelligence loop. Then it describes our approach aimed at answering the requirements, which originality sets in the use of the model-driven engineering paradigm. It reports on the prototype that has been developed, and analyzes the current status of our work towards the different research questions that we have identified.

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