Product variation sequence modelling using feature diagrams and modal logic

Burbaitė, Renata; Damaševičius, Robertas; Štuikys, Vytautas; Bespalova, Kristina; Paškevičius, Paulius

doi:10.1109/cinti.2011.6108475

Cited by 3 publications

(1 citation statement)

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“…Next, we define the basic concepts related to feature models. Note that the concepts can also be defined from other perspectives, for example, using propositional logic or modal logic .…”

Section: Framework and Methodologymentioning

confidence: 99%

Modelling of Internet of Things units for estimating security-energy-performance relationships for quality of service and environment awareness

Venčkauskas

Štuikys

Damaševičius

et al. 2016

Security Comm. Networks

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Complexity of Internet of Things (IoT) applications and difficulty to predict their behaviour in wireless communications make modelling of IoT units an important research topic. The IoT unit is considered here as the two‐node IoT model that supports bi‐directional wireless communications. There are many approaches to model security and energy awareness; however, little is known about the synergistic effect of those factors at the application level under the influence of environmental factors such as noise. The paper introduces a modelling framework to model the security‐energy‐environment issues as main attributes to allow defining quality of service (QoS) for the IoT‐based applications. Among others, the healthcare ones are regarded as predominant now. We model IoT units using the feature‐based modelling methodology adopted from the software engineering domain. The result of modelling is a set of feature models with valid configurations that describe the energy‐security‐environment‐performance relationships and possible constraints to support various IoT applications. Having feature models, we can select a configuration that is best suited for a given IoT application with respect to QoS requirements. As feature models represent abstract relationships of domain factors, we need additionally to provide experiments to determine concrete values of modelled features. We describe the experimental system to measure energy consumption under the influencing factors. Both models (abstract and concrete) allow reasoning about QoS of the IoT applications. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Next, we define the basic concepts related to feature models. Note that the concepts can also be defined from other perspectives, for example, using propositional logic or modal logic .…”

Section: Framework and Methodologymentioning

confidence: 99%