The paper shows how the methodology for a pedagogical experiment can be improved through including the pre-research stage. If the experiment has the form of a test procedure, an improvement of methodology can be achieved using for example the methods of statistical and didactic analysis of tests which are traditionally used in other areas, i.e. measuring the learning outcomes. In particular, we deal with measuring the impact of different text styles of educational texts on the rate of knowledge transfer. For this purpose we are using the methods of statistical and didactic analysis. Statistical methods allow us to determine working hypotheses on statistical significance of differences in didactic characteristics of tests used for measuring the learning outcomes. The working hypotheses, whose validity have not been rejected, show us the weak points of the experiment and allow us to improve it before the experiment has been run in the full scale.

Vilniaus universiteto vyriausiasis mokslo darbuotojas, daktaras Vilnius University, Doctor El. paštas: saulius.gudas@mii.vu.lt The interoperability of enterprise applications in a dynamic environment is a complex issue. New met-hodological approaches and solutions are required. The methodological background of our approach is the internal modeling paradigm integrated with MDA approach. The modified MDA schema includes the new layer of the domain knowledge discovery, frameworks for internal modeling of enterprises. The peculiarity of the modified MDA is a focus on the cross-layer transferring of domain causality. The presented frameworks will help to trace the domain causal dependencies across the layers of the software system development, and they will aid in determining the influence of domain causality to the integrity and interoperability of the application. Researchers consider that the dynamic enterprise domain must be a goal-driven and self-managed system. The management transaction concept uses the internal mo-deling of the enterprise, which reveals the goal-driven information transformations inside the enterprise management activity (deep knowledge). This approach is combining the business process modeling and control theory principles, enterprise architecture modeling and autonomic computing concepts. The Ar-chiMate enterprise architecture modeling language is used for illustrating the cross-layer transferring of domain causality. Finally, we developed the architecture of the interoperable enterprise applications with the autonomic integration component.

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The formulation and adaptation of a firm strategy in small and medium enterprises depends on the management qualification and available project and modeling tools. With regard to the conditions in small Czech companies engaged in agribusiness, we encourage using uncomplicated quantitative models, the results of which can be also valuable. In the contribution, we show the possible utilization of simple additive weighting method for price assessment. 

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