Experience with the development and maintenance of large test suites specified using the Testing and Test Control Notation (TTCN-3) has shown that it is difficult to construct tests that are concise with respect to qu...
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The globalisation of our society leads to an increasing need for spontaneous communication. However, the development of such applications is a tedious and error-prone process. This results from the fact that in genera...
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Current wireless network simulators provide very detailed and deterministic models of the network protocol layers, whereas rather simple and stochastic models, based on the signal-to-noise ratio, are used for the simu...
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A number of popular engineering processes and methodologies emerged over the past years which attracted interest in research and industry. For process enactment, enterprises have to match requirements of engineering p...
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ISBN:
(纸本)9789898565105
A number of popular engineering processes and methodologies emerged over the past years which attracted interest in research and industry. For process enactment, enterprises have to match requirements of engineering processes with existing resources. Therefore, it has to be analyzed if employees have sufficient skills or if infrastructure has sufficient capabilities to match the requirements of a situational process. Both, maintaining a skill and resource database and matching requirements against this database are an enormously challenging and time-consuming task. Additionally, this matching has to be carried out regularly as employees join and leave the company and skills change over time. Based upon a formal, logical base, we present an approach that combines ontological and metamodeling technical spaces and enables an automatic analysis of engineering processes regarding the existence of necessary resources.
High-coverage testing of sensornet applications is vital for pre-deployment bug cleansing, but has previously been difficult due to the limited set of available tools. We integrate the KleeNet symbolic execution engin...
ISBN:
(纸本)9781450303446
High-coverage testing of sensornet applications is vital for pre-deployment bug cleansing, but has previously been difficult due to the limited set of available tools. We integrate the KleeNet symbolic execution engine with the COOJA network simulator to allow for straight-forward and intuitive high-coverage testing initiated from a simulation environment. A tight coupling of simulation and testing helps detect, narrow down, and fix complex interaction bugs in an early development phase. We demonstrate the seamless transition between COOJA simulation and KleeNet symbolic execution. Our framework enables future research in how highcoverage testing tools could be used in cooperationwith simulation tools. Copyright 2010 ACM.
Model-driven software development facilitates faster and more flexible integration of information and communication systems. It divides system descriptions into models of different view points and abstraction levels. ...
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Service-oriented architectures (SOA) can be considered as an enabling methodology for Cloud Computing and the IT's industrialization, standardization and commodity approach. The efforts to effectively introduce SO...
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Enabling robots to seamlessly operate as part of smart spaces is an important and extended challenge for robotics R&D and a key enabler for a range of advanced robotic applications, such as AmbientAssisted Living ...
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RTnet is a distributed real-time network protocol, to be used on fully-connected local area networks with a broadcast capability. It supports on-the-fly addition and removal of network nodes, resource-lavish and resou...
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This paper attempts to take a comprehensive look at the challenges of representing the spatio-temporal structures and dynamic processes that define a city’s overall characteristics. For the task of urban planning and...
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