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Model-driven systems engineering: state-of-the-art and research challenges

100%

Lauder M. , Schlereth M. , Rose S. , Schurr A.

2010

tom Vol. 58, nr 3

409-421

Model-driven software engineering is a well investigated and heavily used technique for software development. Within automation engineering we want to benefit from these ideas and concepts by adopting them to systems engineering. Parallel processes in systems engineering demand high synchronization effort between different disciplines, their engineers, and processes. Unfortunately, these processes are concurrently established, but do only support sequential engineering. With model-driven systems engineering we want to enable systems engineers to model their domain knowledge and tooling on a more abstract level. Thus, engineers may benefit in increasing efficiency and quality for the resulting products from existing integration approaches of engineering artifacts and tools. By means of an integration approach we are able to synchronize and check consistency of model data that evolved parallel in different tools. In this contribution, we present a new classification scheme for integration scenarios and explain our modeling and integration approach together with a proof-of-concept use case and prototype, located in automation engineering.

Model-driven systems engineering: state-of-the-art and research challenges

100%

Lauder M. , Schlereth M. , Rose S. , Schürr A.

nr 3

A nexus between malaria and agricultural output through the channels of gender, sanitation, and socio-economic status

100%

Rose S. , Asfag M. , Hassan S. , Ali G.

Polish Journal of Environmental Studies

2018

tom 27

nr 1

There is not a very simple cause and effect relationship between health of farm workers, malaria, and revenue earned from agriculture. Our study was designed to understand this relationship, including all possible factors affecting agricultural output like malaria, sanitation conditions, socio economic status (SES), availability of health facilities, and the role of gender. Simultaneous equation modeling (SEM) was done to grab the underlying relationships. For assessing SES, a wealth index was created by using principle component analyses (PCA). To create the sanitation and availability of health facility indices we used multiple correspondence analysis (MCA). Results show that improvement in sanitation conditions and socio economic status have direct effects on probability of the occurrence of malaria. More investment on preventive measures and ensuring the availability of health facilities can lessen the disease burden in malaria-endemic areas that indirectly lead to the active participation of economically active members of the family. Our findings suggest that investment in women’s education and farmers’ training with particular focus on malaria can lead to an improvement in farmers’ health that will ultimately result in quality production and increase revenue from agriculture.