Model verification

paper presents a formal approach to threat-driven modeling and verification of secure software using aspect-oriented Petri nets. Based on the behavior model of intended functions, we identify and build formal models of security threats, which are potential misuses and anomalies of the intended functions that violate security goals. Threat mitigations are further modeled in an aspect-oriented paradigm. Taking Petri nets

To forecast skier-triggered avalanches, stability, snowpack and meteorological variables, and records of previous avalanche activity are typically used. The relative importance of, and interaction between, variables used to forecast skier-triggered avalanches have received little attention. This study analyzes the influence of forecasting variables at a heli-skiing operation in the Columbia Mountains of British Columbia, Canada. Forecasting variables are individually assessed

The Waterways Experiment Station has developed dynamic numerical hydraulic and water quality simulation models of the Missouri River reaches downstream of Fort Peck, Garrison, and Fort Randall Dams in support of Master Water Control Manual studies. The numerical modeling approach is to compute spatial and temporal variations in stage and discharge in each of these reaches using UNET, a one-dimensional

The paper describes a model-integrated approach for embedded software development that is based on domain-specific, multiple-view models used in all phases of the development process. Models explicitly represent the embedded software and the environment it operates in, and capture the requirements and the design of the application, simultaneously. Models are descriptive , in the sense that they allow the formal analysis, verification, and validation of the embedded system at design time. Models are also generative, in the sense that they carry enough information for automatically generating embedded systems using the techniques of program generators. Because of the widely varying nature of embedded systems, a single modeling language may not be suitable for all domains; thus, modeling languages are often domain-specific. To decrease the cost of defining and integrating domain-specific modeling languages and corresponding analysis and synthesis tools, the model-integrated approach is applied in a metamodeling architecture, where formal models of domain-specific modeling languages-called metamodels-play a key role in customizing and connecting components of tool chains. This paper discusses the principles and techniques of model-integrated embedded software development in detail, as well as the capabilities of the tools supporting the process. Examples in terms of real systems will be given that illustrate how the model-integrated approach addresses the physical nature, the assurance issues, and the dynamic structure of embedded software.

We present an all-sky map synthesized between 139 MHz and 174 MHz using data from both arrays that reaches down to 80 mJy (4.9 K, for a beam size of 2.15e-5 steradians at 154 MHz), with a 10 mJy (620 mK) thermal noise level that indicates what would be achievable with better foreground subtraction. We calculate angular power spectra ($C_\ell$) in a cold patch and determine them to be dominated by point sources, but with contributions from galactic synchrotron emission at lower radio frequencies and angular wavemodes. Although the cosmic variance of foregrounds dominates errors in these power spectra, we measure a thermal noise level of 310 mK at $\ell=100$ for a 1.46-MHz band centered at 164.5 MHz. This sensitivity level is approximately three orders of magnitude in temperature above the level of the fluctuations in 21cm emission associated with reionization.

In industry, many business processes are modelled and stored in En- terprise Information Systems (EIS). Tools supporting the verification and vali- dation of business processes can help to improve the quality of these business processes. However, existing tools can not directly be applied to models used in industry. In this paper, we present our approach for model verification and validation:

Conventional practice in modelling requires checking that the model implementation is correct with respect to its conceptualisation (verification) and that corresponds to and explains the real world phenomenon modelled (validation). Agent-based models (ABM) have been applied in many scientific fields, but only recently researchers have started to realise that the lack of verification and validation protocols/approaches is one of the main challenges and criticisms in fully adopting the models. Verification and validation assure the external and operational validity of a model and when data for estimation is not readily available, the behaviour of the computational model cannot be operationally validated and thus, the results are 'questionable'. Alternative approaches have recently gained increasing attention. Docking or replication of the models is one of them, based on the reflection that if different implementations of a conceptual model produce similar findings, that lends...