Abstract
This article presents a new effective model, algorithms, and methods for representing the subject area of an information system. The subject area is presented in the form of fragments of the knowledge base of the design support system. The knowledge base is formed in the process of analyzing class diagrams in UML notation and project source code. The proposed approaches can reduce the time of the design process and increase the quality of the obtained information system through the use of successful information system design solutions used in other projects. Search for successful design solutions is carried out using the developed metrics for determining the similarity of software systems projects. The metrics allow calculating the match of pattern in OWL ontology format with the source code of the project.
This work was supported in part by the Russian Foundation for Basic Research (Projects No. 19-47-730003, No. 18-47-730019, 19-47-730006, 19-47-730005).
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Aleksey Alekundrovich, F., Yurevich, G.G., Aleksey Michailovich, N., Nudezhda Glebovna, Y. (2020). Approach to the Search for Software Projects Similar in Structure and Semantics Based on the Knowledge Extracted from Existed Projects. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_52
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