Code Generation from Statecharts: Simulation of Wireless Sensor Networks

Mura, Marcello; Sami, Mariagiovanna

doi:10.1109/dsd.2008.106

Cited by 17 publications

(8 citation statements)

References 9 publications

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“…Different from our approach, [14] does not generate executable code that can be directly run on the sensor nodes. Further, its approach allows to obtain a simulation model that permits to evaluate the scalability and the performance of the modeled WSN application, while our approach is actually used for timing and functional simulations.…”

Section: Related Workmentioning

confidence: 95%

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Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Berardinelli

Marco

Pace

et al. 2013

Computer Performance Engineering

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Abstract. Wireless Sensor Networks are becoming one of the most successful choices for the development and deployment of a wide range of applications, from intelligent homes to environment monitoring. In response to the growing demand for fast development of WSN applications, we extend an existing UML-based approach for the design and code generation of Agilla applications with functional simulation and timing analysis capabilities through executable UML models. The proposed approach makes use of both a UML profile and an executable model library for Agilla. Execution times, annotated on Agilla instructions and patterns in the library, are given as additional input parameters during the model execution to carry out a timing analysis of the simulated Agilla applications. Modeling and simulation activities rely on MagicDraw© and Cameo Simulation Toolkit©. A running case study is provided to show the approach and the supporting tools at work.

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Section: Related Workmentioning

confidence: 95%

“…In [14], the authors generate SystemC code from UML statecharts for simulation purposes. Different from our approach, [14] does not generate executable code that can be directly run on the sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Berardinelli

Marco

Pace

et al. 2013

Computer Performance Engineering

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“…If coding is performed manually, there is no guarantee that the code will match the specifications described by the UML model. Use of a UML tool featuring automatic code generation automates the steps between the design and implementation stage [21][22][23]. To allow students to experience seamless solutions via the model-driven method, UML tools that generate code automatically should be used for laboratory (lab) assignments.…”

Section: Embedded Platforms and The Software Modeling Toolmentioning

confidence: 99%

Incorporating a Model-Driven Approach into an Embedded Software Course

Lim¹

2019

Electronics

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The model-driven method has recently attracted considerable attention as a means of improving the reliability and efficiency of embedded software design. This paper describes an embedded software course incorporating a model-driven method. In this course, students learn both a new model-driven approach for embedded software design and a conventional programming method. Even though they initially find it difficult to learn and apply the new concepts, most of the students find the model-driven method attractive due to its visual design. Our teaching experience indicates that the model-driven method can be incorporated into an embedded software course without compromising conventional content.

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“…In [13] and [12], techniques are proposed to optimize programming and formulate interaction between TinyOS components respectively, using StateCharts [10]. However, state diagrams in these approaches model the different states of a single object in the system and do not address timing constraints.…”

Section: Related Workmentioning

confidence: 99%

Behavioural design of sensor network applications using activity-driven states

Taherkordi

Eliassen

Johnsen

2013

2013 4th International Workshop on Software Engineering for Sensor Network Applications (SESENA)

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The challenge of designing and programming Wireless Sensor Network (WSN) applications has gained increasing attention in recent years. While most existing programming models for WSNs share the same goal of improving software modularity, there exists a gap between the structural software design patterns offered by them and the high-level description of system components. The gap has appeared due to the lack of a software design solution that can model the unique behavioural and dynamic aspects of WSN software, e.g., activities, states, timed operations, and event-driven control flow. In this paper, we present a behavioural design solution for sensor networks based on the principles of finite automata, abstracting the complicated dynamic aspects of WSN software systems through the concept of activity-driven states. This promises a design model which effectively fills the above gap and provides the programmer with concrete design elements that can be directly mapped to the constructs of target programming languages. Moreover, it allows more accurate verification and validation of software systems for WSNs by precisely formulating their behavioural elements.

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Code Generation from Statecharts: Simulation of Wireless Sensor Networks

Cited by 17 publications

References 9 publications

Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Modeling and Timing Simulation of Agilla Agents for WSN Applications in Executable UML

Incorporating a Model-Driven Approach into an Embedded Software Course

Behavioural design of sensor network applications using activity-driven states

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