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An Approach to Similar Software Projects Searching and Architecture Analysis Based on Artificial Intelligence Methods

  • Yarushkina Nadezhda
  • Guskov Gleb
  • Dudarin Pavel
  • Stuchebnikov Vladimir
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 874)

Abstract

Software engineers from all over the world solve independently a lot of similar problems. In this condition the problem of architecture reusing becomes an issue of the day. In this paper, two phase approach to determining software projects with necessary functionality and reusable architecture is proposed. This approach combines two methods of artificial intelligence: natural language clustering technique and a novel method for comparing software projects based on the ontological representation of their architecture automatically obtained from the projects source code. There are 3 metrics presented in this article that allow us to determine the measure of the relevance of the selected projects based on projects architecture indices.

Keywords

Ontology Conceptual model Natural language processing Engineering design Fuzzy hierarchical classifier Clustering Characteristic feature tree Feature construction 

Notes

Acknowledgment

This study was supported Ministry of Education and Science of Russia in framework of project 2.1182.2017/4.6 and Russian Foundation of base Research in framework of project 16-47-732120 r_ofi_m.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yarushkina Nadezhda
    • 1
  • Guskov Gleb
    • 1
  • Dudarin Pavel
    • 1
  • Stuchebnikov Vladimir
    • 1
  1. 1.Ulyanovsk State Technical UniversityUlyanovkskRussian Federation

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