In recent years, several techniques have been proposed for class-level regression testing. Most of these techniques focus either on whiteor black-box testing, although an integrated approach can have several benefits. As similar tasks have to be carried out for both whiteand black-box testing, an integrated approach can improve efficiency and cost effectiveness. This article explains a new appr...

This paper describes the development of linear parameter varying (LPV) models and an LPV-H∞ controller for one degree of freedom (DoF) electro-hydraulic systems. A virtual set-up consists of a hydraulic actuator driven by a servovalve and supplied from a constant-pressure power unit. The LPV models are derived based on two techniques: black-box modeling and the analytical description of the sys...

As a means of modeling typical system behavior, we present a description technique for business processes derived from data flow nets and provide it with a formal semantics based on functions and their composition. The formalism features black box and glass box view and a concept of refinement. As it is intuitively understandable and formally well founded, the notation is equally adequate for t...

The authors apply the analogy of a ‘‘black box’’ from systems theory to epidemiologic problems. They highlight this process using the example of associations between sequential measures of body size and systolic blood pressure. Several other examples of the use of structural equation modeling or path analysis are described. Finally, the authors highlight several requirements for using these met...

Services running in a data center frequently rely on RPCs to child services (e.g. storage, cache, authentication), and their latency depends crucially on latencies of those RPCs. However, even though service latency often comes exclusively from the time spent inside remote calls, it is difficult to determine parent latency since multithreading and asynchronous RPCs lead to complex and non-linea...

Background Mathematical models are increasingly used to understand the dynamics of infectious diseases, including "chronic" infections with long generation times. Such models include features that are obscure to most clinicians and decision-makers. Methods Using a model of a hypothetical active case-finding intervention for tuberculosis in India as an example, we illustrate the effects on mod...

A nonlinear black-box structure for a dynamical system is a model structure that is prepared to describe virtually any nonlinear dynamics. There has been considerable recent interest in this area, with structures based on neural networks, radial basis networks, waveiet networks and hinging hyperplanes, as well as wavelet-transform-based methods and models based on fuzzy sets and fuzzy rules. Th...

We show that the class of polynomial-size branching programs can be obfuscated according to a virtual black-box notion akin to that of Barak et.al., in an idealized black-box group model over pseudo-free groups. This class is known to lie between NC and P and includes most interesting cryptographic algorithms. The construction is rather simple and is based on Kilian’s randomization technique fo...