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To enhance research surveying in software methodologies, a model is introduced that can indicate field maturity based on vocabulary and relevant literature. This model is developed by drawing analogies with software methodologies. Two analogies are used: software models and software life cycles or processes. How this model can reduce research surveying problems for researchers is described using extracts from application results as examples. Although the model does support research surveying activities, it cannot choose the subject for the researcher. AJIS Vol. 6 No. 2 May 1999 has a conceptual model of the method process, and a representation model of modelling notation. Monarchi and Puhr (1992) associate modelling concepts with their graphic representation. Dependencies can further organise FM parts. These include include: Classification; one FM part is a more general form of another FM part. e.g. McChesney (1995) has classification dependency for specific concepts, such as style (AI, Petri net, functional, OO) and notation (text or graphic). Aggregation; one FM part is composed of, or part of, another FM part. e.g. Henderson-Sellers and Edwards (1990) have subdivision aggregate dependency, where a phase (Build) is composed of more specific phases (Coding, Program testing, Program use).

Globalization of all spheres of activity of educational systems determines the need to create simple and accessible tools for monitoring and evaluating the quality of objects and resources. In particular, due to the need to intensify the processes of digital transformation of education, it is important to assess the quality of digital educational environments (DEE). The aim of the work is to substantiate the approach and describe the procedure for monitoring of DEE of educational institutions based on the available cloud services, providing convenient collection, accumulation, and processing of statistical and monitoring indicators.The projective criterial model of the system of assessment and monitoring of the quality of DEE, which is based on the results of self-assessment of the educational organization and external expert evaluation, was adopted. The main feature of the model is the participation of organizations and external experts in the process of designing criterion rubrics, conducting and analyzing the results of monitoring. Yandex Forms service is used for self-assessment of DEE and expert evaluation of the educational organization website which allows converting of the collected data into spreadsheets. By combining the data and their statistical processing it is possible to obtain indicators for different slices and ratings, to conduct a summary clustering of the DEE of the studied organizations by three levels: low, average, and high.The proposed model was implemented in the assessment of DEE practices of supplementary education for children. To determine the quantitative and qualitative indicators of the DLE and the official sites of additional education organizations we created questionnaires in Yandex Forms filled in by the representatives of the studied organizations. Pilot testing showed that the collection, processing, and delivery of monitoring data to users was technologically simple and easy.The projective criterial model for assessing the quality of the DEE of supplementary education organizations can be used for many other studies related to criterion-based assessment activities.