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Factors that Influence the Productivity of Software Developers in a Developer View

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Innovations in Computing Sciences and Software Engineering

Abstract

To measure and improve the productivity of software developers is one of the greatest challenges faced by software development companies. Therefore, aiming to help these companies to identify possible causes that interfere in the productivity of their teams, we present in this paper a list of 32 factors, extracted from the literature, that influence the productivity of developers. To obtain the ranking of these factors, we have applied a questionnaire with developers. In this work, we present the results: the factors that have the greatest positive and negative influence on productivity, the factors with no influence and the most important factors and what influences them. To finish, we present a comparison of the results obtained from the literature.

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References

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Author information

Authors and Affiliations

  1. UNIFOR, IVIA, Fortaleza, Brazil

    Edgy Paiva

  2. UNIFOR, Fortaleza, Brazil

    Danielly Barbosa & Adriano Albuquerque

  3. UNIFOR, E-NOVAR, Fortaleza, Brazil

    Roberto Lima Jr

Authors
  1. Edgy Paiva
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  2. Danielly Barbosa
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  3. Roberto Lima Jr
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  4. Adriano Albuquerque
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Corresponding author

Correspondence to Edgy Paiva .

Editor information

Editors and Affiliations

  1. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Tarek Sobh

  2. School of Engineering, University of Bridgeport, University Avenue 221, Bridgeport, 06604, USA

    Khaled Elleithy

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© 2010 Springer Science+Business Media B.V.

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Paiva, E., Barbosa, D., Lima, R., Albuquerque, A. (2010). Factors that Influence the Productivity of Software Developers in a Developer View. In: Sobh, T., Elleithy, K. (eds) Innovations in Computing Sciences and Software Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9112-3_17

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  • DOI: https://doi.org/10.1007/978-90-481-9112-3_17

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9111-6

  • Online ISBN: 978-90-481-9112-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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