Towards a Model-driven Approach to Develop Applications based on Physical Active Objects

Baresi, Luciano; Beretta, P.; Fraccapani, R.; Ghezzi, Carlo; Pacifici, Filippo

doi:10.1109/apsec.2006.58

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…The first step towards abstracting physical devices as Web services is the definition of the logical architecture of the system [1] to provide a conceptual view of the pervasive system and of its logic, independently of its distribution. A special-purpose metamodel defines the main concepts which are then used to define both a structural description of the system and a behavioral description of its components.…”

Section: Device Abstractionsmentioning

confidence: 99%

A service-based infrastructure for advanced logistics

Baresi

Braga

Comuzzi

et al. 2007

2nd International Workshop on Service Oriented Software Engineering: In Conjunction With the 6th ESEC/FSE Joint Meeting

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The solutions for dangerous goods transportation usually need to deal with several constraints and requirements. The technological level in logistics is low and fleet management systems typically employ proprietary solutions. Web services can help tackle these problems since they help widen the market, reduce the gap between advanced solutions and small to medium enterprises, and foster the integration with other existing systems. The paper presents our experience on implementing a service-based framework for advanced logistics. We propose a layered organization to abstract physical devices into Web services, which are then used to ease the communication between containers and interested parties. The main ideas behind the framework are discussed by considering two key processes for the management of dangerous goods: the processes of tracking and tracing goods and of alerting public authorities in case of danger situations.

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Section: Device Abstractionsmentioning

confidence: 99%

A service-based infrastructure for advanced logistics

Baresi

Braga

Comuzzi

et al. 2007

2nd International Workshop on Service Oriented Software Engineering: In Conjunction With the 6th ESEC/FSE Joint Meeting

Self Cite

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“…Automatic generation of source code (ASCG) is a common practice in object-oriented modeling [2] [3] [4]. It is a widely known, for example, if we use UML [5], as a language for modeling, then it is necessary to graphically model the problem, and the source code generation will be done by the tools made for that purpose.…”

Section: Introductionmentioning

confidence: 99%

Automatic source code generation of peripheral hardware modules firmware

Krunić

Letvencuk

Povazan

et al. 2013

2013 21st Telecommunications Forum Telfor (TELFOR)

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In this paper is represented a continuous work on the automated source code generation described in [1]. This paper will attempt to explain the automatic source code generation of hardware peripheral modules firmware. Peripheral hardware modules are registers whose values configure the execution of the firmware. Access to the values of the registers can be performed through the grafical user interface which is integral part of the Eclipse based IDE, and programmatically, using assembly instructions.

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“…As evidenced in [10] and [11], there is a growing interest in applying model-driven techniques in pervasive computing environments for purposes such as managing heterogeneity of devices, masking the complexity of dynamic environments, and promoting code reuse. [12] proposes a planning-based approach to supporting autonomic computing in pervasive computing environments that allows users to specify their goals in a high-level manner and allow the planning framework to generate a plan.…”

Section: Related Workmentioning

confidence: 99%

Model-driven engineering of planning and optimisation algorithms for pervasive computing environments

Harrington

Cahill

2011

2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)

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Abstract-This paper presents a model-driven approach to developing pervasive computing applications that exploits designtime information to support the engineering of planning and optimisation algorithms that reflect the presence of uncertainty, dynamism and complexity in the application domain. In particular the task of generating code to implement planning and optimisation algorithms in pervasive computing domains is addressed.We present a layered domain model containing a set of objectoriented specifications for modelling physical and sensor/actuator infrastructure and state-space information. Our model-driven engineering approach is implemented in two transformation algorithms. The initial transformation parses the domain model and generates a planning model for the application being developed that encodes an application's states, actions and rewards. The second transformation parses the planning model and selects and seeds a planning or optimisation algorithm for use in the application.We present an empirical evaluation of the impact of our approach on the development effort associated with a pervasive computing application from the Intelligent Transportation Systems (ITS) domain, and provide a quantitative evaluation of the performance of the algorithms generated by the transformations.

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Towards a Model-driven Approach to Develop Applications based on Physical Active Objects

Cited by 3 publications

References 12 publications

A service-based infrastructure for advanced logistics

A service-based infrastructure for advanced logistics

Automatic source code generation of peripheral hardware modules firmware

Model-driven engineering of planning and optimisation algorithms for pervasive computing environments

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