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Who tested my software? Testing as an organizationally cross-cutting Activity

Abstract in UndeterminedThere is a recognized disconnect between testing research and industry practice, and more studies are needed on understanding how testing is conducted in real-world circumstances instead of demonstrating the superiority of specific methods. Recent literature indicates that testing is a cross-cutting activity that involves various organizational roles rather than the sole in

Modeling the Ultra-Wideband Outdoor Channel - Model Specification and Validation

In this paper we establish a geometry-based stochastic ultra-wideband channel model for outdoor infostations scenarios. We statistically describe the location and strength of clusters of scatterers, as well as the shape and width of visibility and shadowing regions. We also separately model diffuse radiation (which cannot be explained by the scatterer components), and show that its fading statisti

Fluorescence diagnostics and kinetic studies in the head and neck region utilizing low-dose delta-aminolevulinic acid sensitization

Diagnostic measurements and pharmacokinetic studies were performed in 17 patients with various kinds of malignant, premalignant and benign lesions in the head and neck region by means of point monitoring laser-induced fluorescence. For marking different types of tissue, delta-aminolevulinic acid (ALA)-induced protoporphyrin IX (PpIX) was used. The ALA-induced PpIX synthesis was monitored at differ

Implant size and fixation mode strongly influence tissue reactions in the CNS.

The function of chronic brain machine interfaces depends on stable electrical contact between neurons and electrodes. A key step in the development of interfaces is therefore to identify implant configurations that minimize adverse long-term tissue reactions. To this end, we here characterized the separate and combined effects of implant size and fixation mode at 6 and 12 weeks post implantation i

Superpolynomial growth in the number of attractors in Kauffman networks (conference report)

The Kauffman model describes a particularly simple class of random Boolean networks. Despite the simplicity of the model, it exhibits complex behavior and has been suggested as a model for real world network problems. This work is based on an earlier paper where we introduced a novel approach to analyzing attractors in random Boolean networks. Applying this approach to Kauffman networks, we prove