We present an adaptation of input/output conformance (ioco) testing principles to families of similar implementation variants as appearing in product line engineering. Our proposed product line testing theory relies o...
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Software product lines have potential to allow for mass customization of products. Unfortunately, the resulting, vast amount of possible product variants with commonalities and differences leads to new challenges in s...
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Localization of wireless nodes within the IoT received much attention lately. However, strong constraints on power consumption, scalability, and complexity of the nodes pose a big challenge for localization techniques...
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Localization of wireless nodes within the IoT received much attention lately. However, strong constraints on power consumption, scalability, and complexity of the nodes pose a big challenge for localization techniques. This paper presents a concept for energy-efficient low-complexity localization based on Phase Difference of Arrival (PDoA). Besides a novel method for reference transmitter selection we propose a waveform, well-suited for PDoA measurements, and evaluate its ranging performance. We compare multiple signal classification (MUSIC), linear fitting, and mean phase difference and compare their estimation variance to the Cramer Rao Lower Bound (CRLB). Our system concept allows for the mitigation of near-far effects for reference and tag signals at the receiver nodes, and an efficient implementation of a wideband frequency hopping scheme.
Software engineering is an important development task in the automation domain due to the increasing number of embedded systems applied for controlling various system functions. In general, those automation systems ar...
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The websites of the universities of Africa's most populous country Nigeria were examined. The goal was to unearth the reasons why external hyperlinks are placed on these sites and identify any peculiarities by geo...
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Event-Based systems (EBS) can efficiently analyze large streams of sensor data in near-realtime. But they struggle with noise or incompleteness that is seen in the unprecedented amount of data generated by the Interne...
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ISBN:
(纸本)9781450332866
Event-Based systems (EBS) can efficiently analyze large streams of sensor data in near-realtime. But they struggle with noise or incompleteness that is seen in the unprecedented amount of data generated by the Internet of Things. We present a generic approach that deals with uncertain data in the middleware layer of distributed event-based systems and is hence transparent for developers. Our approach calculates alternative paths to improve the overall result of the data analysis. It dynamically generates, updates, and evaluates Bayesian Networks based on probability measures and rules defined by developers. An evaluation on position data shows that the improved detection rate justifies the computational overhead.
The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the syst...
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ISBN:
(纸本)9781467375467
The article presents the design of an application interface for associated medical data visualization and management for neurologists in a stroke clustering and prediction system called Stroke MD. The goal of the system is to facilitate efficient visual data introduction and knowledge extraction based on a predictive model implementation. Aspects such as quality of the visualized data, type of the viewed data (risk factor groups, clustered groups, data alerts, conclusions etc.) and efficient user-software interaction directly influenced decisions about system design, in particular the design of the doctor's/patient's user interface sides, input methods and user-software interaction techniques, ending in to a hybrid setup of interface.
In this paper, we sketch how treating product lines as systems of possibly heterogeneous constraints allows one to elegantly and consistently manage product lines in terms of a product line of product lines. In fact, ...
The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to ta...
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The analysis of nowadays software systems for supporting, e.g., testing, verification or debugging is becoming more challenging due to their increasing complexity. Model slicing is a promising analysis technique to tackle this issue by abstracting from those parts not influencing the current point of interest. In the context of software product lines, applying model slicing separately for each variant is in general infeasible. Delta modeling allows exploiting the explicit specification of commonality and variability within deltas and enables the reuse of artifacts and already obtained results to reduce the modeling and analysis efforts. In this paper, we propose a novel approach for incremental model slicing for delta-oriented software product lines. Based on the specification of model changes between variants by means of model regression deltas, an incremental adaptation of variant-specific dependency graphs as well as an incremental slice computation is achieved. The slice computation further allows for the derivation of differences between slices for the same point of interest enhancing, e.g., change impact analysis. We provide details of our incremental approach, discuss benefits and present future work.
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