SOFTWARE TESTING ESTIMATION: BIBLIOGRAPHIC SURVEY IN BRAZILIAN AND INTERNATIONAL ENVIRONMENTS

Authors

  • Fernando Oliveira de Araujo Universidade Federal Fluminense Escola de Engenharia Departamento de Engenharia de Produção
  • Luciana Vago Matieli Accenture

DOI:

https://doi.org/10.14488/BJOPM.2017.v14.n1.a2

Keywords:

Software testing estimation, methodology for software testing estimation, software quality

Abstract

The methodologies used in the market regarding pricing practices related to software testing activity are strongly based on empiricism, without the parameters and criteria that are widely accepted, what does not confer the due credibility in terms of time and cost for businesses. Despite the highlighted theoretical and empiric importance assigned to the field of software testing, in Brazil, investigations on the theme software testing estimation are still scarce. This article provides a literature review of the main academic publications in national and international circulation which focus on the study of how to estimate software testing, aiming at fomenting and guiding further national researches specifically dedicated to this thematic. The review has provided both the characterization of how to estimate software testing and survey of the main existing techniques.

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Author Biographies

Fernando Oliveira de Araujo, Universidade Federal Fluminense Escola de Engenharia Departamento de Engenharia de Produção

 Professor do Departamento de Engenharia de Produção da UFF e Pesquisador do Programa de Pós-Graduação em Sistemas de Gestão da mesma Universidade.

Luciana Vago Matieli, Accenture

M.Sc. in Management Systems; B.Sc. in Computer Sciences

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Published

2017-05-15

How to Cite

Araujo, F. O. de, & Matieli, L. V. (2017). SOFTWARE TESTING ESTIMATION: BIBLIOGRAPHIC SURVEY IN BRAZILIAN AND INTERNATIONAL ENVIRONMENTS. Brazilian Journal of Operations & Production Management, 14(1), 10–18. https://doi.org/10.14488/BJOPM.2017.v14.n1.a2

Issue

Vol. 14 No. 1 (2017): March, 2017

Section

Articles

License

Copyright (c) 2017 Brazilian Journal of Operations & Production Management

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