identifying software complexity topics with latent dirichlet allocation on design patterns

Clicks: 174
ID: 133976
2019
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Abstract
The scientific literature has paid limited attention to studying software complexity subjects from the design point of view. There is a significant number of papers that study software complexity in relation with maintenance, refactoring, source code changes and that establish metrics for measuring software complexity. This paper compares design patterns and software complexity in order to identify trends of research in the software complexity area. For this purpose, we as-sess the strengths and weaknesses of software complexity scientific articles through the lens of design patterns. We have reviewed 1068 papers via latent Dirichlet allocation technique (LDA) for our work. We found that existing software complexity paths disproportionate emphasis in how software complexity could benefit from design patterns instead on how contributions to de-sign patterns can benefit from software complexity.
Reference Key
necula2019informaticidentifying Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Sabina-Cristiana NECULA;Catalin STRIMBEI
Journal fuel
Year 2019
DOI
10.12948/issn14531305/23.4.2019.01
URL
http://revistaie.ase.ro/content/92/01%20-%20necula,%20strimbei.pdf
Keywords
latent dirichlet allocation information resources library science

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