User Profiles for Context-Aware Reconfiguration in Software Product Lines

Nieke, Michael; Mauro, Jacopo; Seidl, Christoph; Yu, Ingrid Chieh

doi:10.1007/978-3-319-47169-3_44

Cited by 9 publications

(18 citation statements)

References 17 publications

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“…The proposed pre-configuration in this work is only concerned with features and does not allow the preconfiguration of attributes values and cardinalities ranges. Nieke, Mauro, Seidl, & Yu (2016) introduce the notion of user profiles as a mean for SPL reconfiguration at runtime based on a context-aware reconfiguration engine providing valid configurations regarding contextual information and if necessary reconfiguring the SPL while trying to maximize the preferences of the user profile under consideration. The notion of user profiles used by Nieke et al (2016) is much more concerned with the explicit preferences elicited by a specific user rather than the ones of a user community as proposed in the SPLP platform.…”

Section: Related Workmentioning

confidence: 99%

“…Nieke, Mauro, Seidl, & Yu (2016) introduce the notion of user profiles as a mean for SPL reconfiguration at runtime based on a context-aware reconfiguration engine providing valid configurations regarding contextual information and if necessary reconfiguring the SPL while trying to maximize the preferences of the user profile under consideration. The notion of user profiles used by Nieke et al (2016) is much more concerned with the explicit preferences elicited by a specific user rather than the ones of a user community as proposed in the SPLP platform. Another work (Krueger & Clements, 2017) focus more on pre-packaging features in large scale SPL as a mean for managing feature models in large and complex organizations depending on which business role (developer, test engineer, product development manager) is going to deal with the feature-based product line.…”

Section: Related Workmentioning

confidence: 99%

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Feature Models Preconfiguration Based on User Profiling

Dehmouch¹,

Asri²,

Rhanoui³

et al. 2019

CIS

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Feature modeling is used to express commonality and variability among a family of software products called the software product line. To offer customized products to their customers, organizations need to build packages of features taking into consideration customer needs and preferences. This paper presents a platform named SPLP (Software Product Line Profiling) which allows pre-configuring feature models through the restriction of the configuration space to meet the requirements of a specific market segment. Considering that concerns and preferences of this latter are a key criteria to achieve a tailored pre-configuration, authors propose the integration of user profiling in the SPLP platform through the definition of a user profile model describing information about the user and the products he is used to consume. This information is then exploited by the SPLP platform to perform an automated pre-configuration according to each user profile requirements and preferences.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Feature Models Preconfiguration Based on User Profiling

Dehmouch¹,

Asri²,

Rhanoui³

et al. 2019

CIS

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“…To allow users to customize the reconfiguration behavior of their system, we introduced the concept of user profiles [17]. As users can easily model wrong reconfiguration rules, e.g., contradicting other necessary reconfiguration rules or FM constraints, we also introduce the concept of preferences.…”

Section: Modeling Profilesmentioning

confidence: 99%

“…• We enabled SPL users to express preferences over valid configurations, facilitating user customization of SPLs [6].…”

Section: Introductionmentioning

confidence: 99%

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Context-aware reconfiguration in evolving software product lines

Mauro

Nieke

Seidl

et al. 2018

Science of Computer Programming

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Introduction to the Track on Variability Modeling for Scalable Software Evolution

Damiani

Seidl

2016

Leveraging Applications of Formal Methods, Verification and Validation: Discussion, Dissemination, Applications

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Information and communication technology today is increasingly integrated into the environment we live in, distributed on cars, appliances and smart infrastructures. The software running on these devices is increasingly individualized, adapted to the preferences and needs of the specific customer and must be able to evolve after deployment by means of software patches. Upgrades are becoming individualized; software patches used to upgrade the software are selected and adapted depending on the configuration and external constraints of the host device. The objective of the European project HyVar is to develop techniques and tools for fast and customizable software design, for the management of highly distributed applications, for continuous software evolution of remote devices, and scalable infrastructure to accommodate a large number of devices. The track Variability Modeling for Scalable Software Evolution aims to foster cooperation opportunities and create synergies between related research directions to address challenges stemming from software variability, evolution, and cloud technology for highly distributed applications in heterogeneous environments. This paper introduces the track and its individual contributions.

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User Profiles for Context-Aware Reconfiguration in Software Product Lines

Cited by 9 publications

References 17 publications

Feature Models Preconfiguration Based on User Profiling

Feature Models Preconfiguration Based on User Profiling

Context-aware reconfiguration in evolving software product lines

Introduction to the Track on Variability Modeling for Scalable Software Evolution

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