A Concept Map of Terminologies and Disciplines for the Executable Model Lifecycle

The Executable Models (ExM) research area is an ascending discipline that explores the use of models capable of being executed during the software development process. The research area is overloaded with terms and concepts derived from several areas. There is also ambiguities and an absence of consensus on definitions. This is a problem not only for newcomers in the area but it can generate unproductive studies and conflicts among researchers. However, there is not yet a study presenting those concepts in a concise and structured manner. Thus, this study aims to collaborate with the research area with a collection of relevant concepts and their definitions. The concepts were obtained from a literature review where we collected relevant studies from several disciplines. We organized those concepts into a concept map that establishes the relationship between concepts while presenting them separated by disciplines.

A ready-to-use dose-response model of Campylobacter jejuni implemented in the FSKX-standard

Dose-response models are an important part of quantitative microbiological risk assessments. In this paper, we present a transparent and ready-to-use version of a published dose-response model that estimates the probability of infection and illness after the consumption of a meal that is contaminated with the pathogen Campylobacter jejuni. To this end, model and metadata are implemented in the fskx-standard. The model parameter values are based on data from a set of different studies on the infectivity and pathogenicity of Campylobacter jejuni. Both, challenge studies and outbreaks are considered, users can decide which of these is most suitable for their purpose. We present examples of results for typical ingested doses and demonstrate the utility of our ready-to-use model re-implementation by supplying an executable model embedded in this manuscript.

Real time executable model for dynamic heat flow analysis of a solar hydrogen reactor

A real time executable model developed for dynamic heat analysis of a solar hydrogen reactor is described and characterized. To calculate the local distribution of radiation caused by multiple reflection inside the solar receiver the radiosity method is used. Significant optical characteristics including reflectance, transmittance and absorption are investigated related to the used materials and operating conditions. Furthermore, the influence on the model behavior is presented by variation of optical parameters. Simulation results are presented, which show good agreement with experimental data.