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Determining the Popularity of Design Patterns Used by Programmers Based on the Analysis of Questions and Answers on Stackoverflow.com Social Network

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Computer Networks (CN 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 608))

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Abstract

User-generated content in social networks constitutes tremendous stores of knowledge to be analysed. The article presented results of research on the popularity of design patterns on the basis of data gathered in the specialised social networks. The conducted analyses concerned i.a. general popularity of questions about design patterns and indicating a group of patterns which cause possible problems during implementation. The research results were obtained thanks to using data mining techniques.

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Notes

  1. 1.

    https://www.nuget.org/.

  2. 2.

    https://www.codeplex.com/.

  3. 3.

    https://api.stackexchange.com/docs/search.

  4. 4.

    http://www.postgresql.org/.

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Author information

Authors and Affiliations

  1. Koszalin University of Technology, Sniadeckich 2, 75-453, Koszalin, Poland

    Daniel Czyczyn-Egird & Rafal Wojszczyk

Authors
  1. Daniel Czyczyn-Egird
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  2. Rafal Wojszczyk
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Corresponding author

Correspondence to Daniel Czyczyn-Egird .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Piotr Gaj

  2. Silesian University of Technology, Gliwice, Poland

    Andrzej Kwiecień

  3. Silesian University of Technology, Gliwice, Poland

    Piotr Stera

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Czyczyn-Egird, D., Wojszczyk, R. (2016). Determining the Popularity of Design Patterns Used by Programmers Based on the Analysis of Questions and Answers on Stackoverflow.com Social Network. In: Gaj, P., Kwiecień, A., Stera, P. (eds) Computer Networks. CN 2016. Communications in Computer and Information Science, vol 608. Springer, Cham. https://doi.org/10.1007/978-3-319-39207-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-39207-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39206-6

  • Online ISBN: 978-3-319-39207-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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