An Approach to Determining Software Projects with Similar Functionality and Architecture Process Based on Artificial Intelligence Methods

Nadezhda Yarushkina; Gleb Guskov; Pavel Dudarin

doi:10.20944/preprints201801.0290.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 30 January 2018 / Approved: 31 January 2018 / Online: 31 January 2018 (02:44:53 CET)

Software engineers from all over the world solve independently a lot of similar problems. In this condition the problem of code or even better architecture reusing becomes an issue of the day. In this paper two phase approach to determining the functional and structural likenesses of software projects is proposed. This approach combines two methods of artificial intelligence: natural language processing techniques with a novel method for comparing software projects based on ontological representation of their architecture automatically obtained from the projects source code. Additionally several similarity metrics are proposed to estimate similarity between projects.

ontology; conceptual model; natural language processing; engineering design; fuzzy hierarchical classifier; clustering

Computer Science and Mathematics, Artificial Intelligence and Machine Learning

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An Approach to Determining Software Projects with Similar Functionality and Architecture Process Based on Artificial Intelligence Methods

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