A Model-Driven Process to Migrate Web Content Management System Extensions

Priefer, Dennis; Kneisel, P.; Taentzer, Gabriele

doi:10.1007/978-3-319-38791-8_57

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Which is not there in case of beacons in this experiment setup. A python program was used to read beacon advertisements using a Bluetooth Dongle on Android on the IntelliJ IDEA platform a commercial Java integrated development environment IDE [33].…”

Section: Experiments Setup and Resultsmentioning

confidence: 99%

Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm

Ntalasha

Wang

2020

JMM

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In the Internet of Things (IoT) paradigm, context state information plays a critical role in advancing the development of adaptive pervasive applications. Pervasive services and context-aware computing are emerging as the next computing paradigms in which infrastructure and services are seamlessly available anywhere, anytime, and in any format. The IoT paradigm raises new opportunities and demands on the underlying systems, in particular, the need to have systems that are adaptive and context-aware using context state information. In this paper, we introduce a new adaptive context state design technique to model context-aware applications that are sensitive to context state information changes. Each context change event is captured, interpreted and reacted to so that applications and users use only the functionality and adaptability needs that are solutions to their needs. The solution is modeled using Finite State Machine (FSM) and semantic localization so that context state information within the IoT paradigm is aligned to events. The semantic localization process precisely estimates the proximity location of the user along with the quality of context (QoC) attributes using the Bluetooth cell-based approach. This semantic information is useful in determining and inferring the user activities in a location. The QoC attributes are used to determine the confidence of the user location and range of the Bluetooth beacons within the IoT domain. This will, in turn, be used to determine whether the user is in the location or not. The alignment technique in our model represents the proper and new solution concerning functionality and adaptability needs expressed by other user applications in the IoT environment. The experimental scenario results indicate that a user can continue to enjoy their daily activities while the IoT application adapts continuously to their changing needs and notifying service providers of the changes according to the events of the user.

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Section: Experiments Setup and Resultsmentioning

confidence: 99%

Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm

Ntalasha

Wang

2020

JMM

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“…As MDD based on UML diagram modeling is not widely familiar to the average software developers—or computing students for that matter—which adds to the learning curve. A popular approach found in recent works is to utilize IDE‐supported Domain Specific Languages (DSL). This allows for the development of code in the more familiar environment of the IDE, while providing support like autocompletion, model validation, and quick fixes. Productivity is typically measured in terms of development time.…”

Section: Discussionmentioning

confidence: 99%

An MDD‐based method for building context‐aware applications with high reusability

Paspallis

2019

J Software Evolu Process

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Adding context -awareness capabilities to modern mobile and pervasive computing applications (apps) is becoming a mainstream activity in the software engineering community. In this respect, many context models and middleware architectures have been proposed with the aim to provide the developers with tools and abstractions that make it easier to produce context-aware applications. However, current solutions suffer from relatively low reusability and lack ease-of-use. In this paper, we propose a two-layer approach based on model-driven development: At the higher layer, we introduce the design of reusable context plug-ins, which can be used to monitor low-level context data and to infer higher-level information about the users, their computing infrastructure, and their interaction. At the lower layer, the plug-ins themselves are synthesized using more elementary, reusable components. We argue that this development approach provides significant advantages to the developers, as it enables them to design, implement, reuse, and maintain the codebase of context-aware apps more efficiently.To evaluate this approach, we demonstrate it in the context of a two-part example application and assess it both qualitatively and quantitatively. KEYWORDScode generation, context awareness, MDD, middleware, plug-in, reusability INTRODUCTIONContext awareness is one of the most sought-after features for modern mobile and pervasive computing applications. Understanding and using context allows applications to identify and predict intention, thus allowing for better and richer human-computer interaction.Researchers have proposed various approaches to ease the task of designing and implementing applications that are context-aware and self-adaptive. At their core, many of these build on reusable code, ranging from the early works of Dey 1 to more recent, plug-in-based architectures such as those described in the previous studies. 2-5 These approaches are designed to allow the applications, which are using them to inquire and access arbitrary context data types. In this respect, the context-awareness and context-inferring parts are separated from the functional logic of the applications by means of reusable context plug-ins (ie, individually deployable units, which provide mechanisms for collecting and processing context data, and inferring higher-level context information). At the same time, many context models and middleware architectures were proposed and documented in the literature. 6,7 Software reuse is at the core of many of those approaches. At a higher level, reuse covers all software engineering phases and ''can be supported by different types of methods, including ad hoc, opportunistic, adaptive, systematic, black-box, whitebox, etc.'' 8 A common drawback in these approaches is that the developers are required to invest a significant amount of time to develop customized components, which are used for collecting, processing, inferring, storing, querying, and accessing context data. Moreover, the developed components are then harder...

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A Model-Driven Process to Migrate Web Content Management System Extensions

Cited by 2 publications

References 3 publications

Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm

Adaptive Context-Aware Design Using Context State Information for the Internet of Things Paradigm

An MDD‐based method for building context‐aware applications with high reusability

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