Models, methods, parameters, characteristics and metrics used in expert systems of evaluating the quality of the design and development of innovative software projects
Larina T.S.Institute of International Accounting Standards and Management, Moscow, Russian Federation lartaser@rambler.ru
Subject The article takes a look at the existing expert systems to evaluate the quality of development of innovative software projects, as well as the models and methods used to obtain an assessment of their quality. Objectives The article aims to perform a comparative analysis of the existing models and methods used to assess the quality of the development of innovative software projects, as well as identify indicators, characteristics and metrics to quantify them when creating expert systems of evaluation Methods For the study, we used comparative statistical analysis methods, decomposition, the methods of expert evaluation, analytic hierarchy process, and the fuzzy sets methodology. Results We have identified a number of the existing models used to assess the quality of modern innovative software projects, and determined the composition of indicators, their qualitative characteristics and subcharacteristics conducive to creating expert systems to evaluate the quality of their development. Conclusions The article concludes that, in order to obtain a comprehensive assessment of the quality of modern innovative software projects, it is appropriate to use different models simultaneously. To assess the quality of each particular innovative software project, an individual expert system of indicators, characteristics and subcharacteristics of the project's quality properties and measuring metrics should be created.
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