dissertation · Figshare · 2021

Software Design Pattern Knowledge Mining, Organisation, and Recommendation

Wijerathna, Laksri

Cited by 0Open access

Abstract

The work presented in this thesis is a step towards automated design pattern knowledge management. The approach presented in this thesis provides a taxonomy to improve design pattern knowledge exploration and provides a pathway to future research on knowledge expansion. Furthermore, this thesis presents a novel mining approach for design pattern knowledge mining followed by a qualitative and quantitative analysis of the design pattern knowledge. Moreover, this thesis presents a human and machine-interpretable knowledge structure for easy design pattern knowledge retrieval and dissemination followed by an automated recommendation model to design pattern recommendation for a given text context.

Cite this paper

APA 7

Wijerathna, L. (2021). Software Design Pattern Knowledge Mining, Organisation, and Recommendation. Figshare. https://doi.org/10.26180/17082905.v1

MLA 9

Wijerathna, Laksri. “Software Design Pattern Knowledge Mining, Organisation, and Recommendation.” Figshare, 2021, https://doi.org/10.26180/17082905.v1.

Chicago

Wijerathna, Laksri. 2021. “Software Design Pattern Knowledge Mining, Organisation, and Recommendation.” Figshare. https://doi.org/10.26180/17082905.v1.

Harvard

Wijerathna, L. (2021) ‘Software Design Pattern Knowledge Mining, Organisation, and Recommendation’, Figshare. Available at: https://doi.org/10.26180/17082905.v1.

BibTeX

@phdthesis{wijerathna2021software,
  title = {{Software Design Pattern Knowledge Mining, Organisation, and Recommendation}},
  author = {Wijerathna, Laksri},
  school = {Figshare},
  year = {2021},
  doi = {10.26180/17082905.v1}
}

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