Development Framework for Model Driven Architecture to Accomplish Power-Aware Embedded Systems

Menghin, Manuel; Druml, Norbert; Steger, Christian; Weiß, Reinhold; Bock, Holger; Haid, Josef

doi:10.1109/dsd.2014.30

Cited by 4 publications

(7 citation statements)

References 21 publications

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“…A framework for a model-driven architecture to estimate the power consumption of near field communication (NFC) devices is presented in [47]. The proposed modes are based on SystemC, where each module (e.g., hardware component or peripheral device) is extended with a power state machine.…”

Section: Related Workmentioning

confidence: 99%

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Hunting Energy Bugs in Embedded Systems: A Software-Model-In-The-Loop Approach

2022

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Power consumption has become a major design constraint, especially for battery-powered embedded systems. However, the impact of software applications is typically considered in later phases, where both software and hardware parts are close to their finalization. Power-related issues must be detected in early stages to keep the development costs low, satisfy time-to-market, and avoid cost-intensive redesign loops. Moreover, the variety of hardware components, architectures, and communication interfaces make the development of embedded software more challenging. To manage the complexity of software applications, approaches such as model-driven development (MDD) may be used. This article proposes a power-estimation approach in MDD for software application models in early development phases. A unified modeling language (UML) profile is introduced to model power-related properties of hardware components. To determine the impact of software applications, we defined two analysis methods using simulation data and a novel in-the-loop concept. Both methods may be applied at different development stages to determine an energy trace, describing the energy-related behavior of the system. A novel definition of energy bugs is provided to describe power-related misbehavior. We apply our approach to a sensor node example, demonstrate an energy bug detection, and compare the runtime and accuracy of the analysis methods.

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Section: Related Workmentioning

confidence: 99%

“…Our approach instead is designed to consider the complete system. A more fundamental difference compared to [47] is that our approach aims to evaluate software application models that will later be executed on the system connected to the simulation instead of additional components (e.g., NFC-Readers) connected to an existing system.…”

Section: Related Workmentioning

confidence: 99%

Hunting Energy Bugs in Embedded Systems: A Software-Model-In-The-Loop Approach

2022

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“…This layer is concerned with people, locations, things, and the fundamental laws of the domain [18]. Use cases are derived from stakeholder requirements [27]. PIM is a sophisticated model that distinguishes logic from technology implementation [17].…”

Section: Introductionmentioning

confidence: 99%

“…Meta models translate CIM models and their interactions into system models at the PIM level [26]. All parameters must be completed for PIM to be considered validated [27].…”

Section: Introductionmentioning

confidence: 99%

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Automatic model transformation on multi-platform system development with model driven architecture approach

Safitri

Atqiya²

2022

Comput. Sci. Inf. Technol.

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Several difficulties commonly arise during the software development process. Among them are the lengthy technical process of developing a system, the limited number and technical capabilities of human resources, the possibility of bugs and errors during the testing and implementation phase, dynamic and frequently changing user requirements, and the need for a system that supports multi-platforms. Rapid application development (RAD) is the software development life cycle (SDLC) that emphasizes the production of a prototype in a short amount of time (30-90 days). This study discovered that implementing a model-driven architecture (MDA) approach into the RAD method can accelerate the model design and prototyping stages. The goal is to accelerate the SDLC process. It took roughly five weeks to construct the system by applying all of the RAD stages. This time frame does not include iteration and the cutover procedure. During the prototype test, there were no errors with the create, read, update, and delete (CRUD) procedure. It was demonstrated that automatic transformation in MDA can shorten the RAD phases for designing the model and developing an early prototype, reduce code errors in standard processes like CRUD, and construct a system that supports multi-platform.

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