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DC Field | Value | Language |
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dc.contributor.author | González-Barahona, JM | - |
dc.contributor.author | Cervigón, C | - |
dc.contributor.author | Capiluppi, A | - |
dc.contributor.author | Izquierdo-Cortázar, D | - |
dc.date.accessioned | 2016-02-08T12:13:59Z | - |
dc.date.available | 2014-01-01 | - |
dc.date.available | 2016-02-08T12:13:59Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings, pp. 222 - 231, (2014) | en_US |
dc.identifier.isbn | 9781450328630 | - |
dc.identifier.uri | http://dl.acm.org/citation.cfm?doid=2597073.2597107 | - |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/12044 | - |
dc.description.abstract | Because of the distributed and collaborative nature of free/open source software (FOSS) projects, the development effort invested in a project is usually unknown, even after the software has been released. However, this information is becoming of major interest, especially-but not only-because of the growth in the number of companies for which FOSS has become relevant for their business strategy. In this paper we present a novel approach to estimate effort by considering data from source code management repositories. We apply our model to the OpenStack project, a FOSS project with more than 1,000 authors, in which several tens of companies cooperate. Based on data from its repositories and together with the input from a survey answered by more than 100 developers, we show that the model offers a simple, but sound way of obtaining software development estimations with bounded margins of error. | en_US |
dc.description.sponsorship | Gregorio Robles, Carlos Cervig on and Jes us M. Gonz alez-Barahona, project SobreSale (TIN2011-28110). and The work of Daniel Izquierdo has been funded in part by the Torres Quevedo program (PTQ-12-05577) | en_US |
dc.format.extent | 222 - 231 | - |
dc.language.iso | en | en_US |
dc.subject | E ort estimation | en_US |
dc.subject | Open source | en_US |
dc.subject | Free software | en_US |
dc.subject | Mining software repositories | en_US |
dc.title | Estimating development effort in free/open source software projects by mining software repositories: A case study of OpenStack | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.doi | http://dx.doi.org/10.1145/2597073.2597107 | - |
dc.relation.isPartOf | 11th Working Conference on Mining Software Repositories, MSR 2014 - Proceedings | - |
pubs.publication-status | Published | - |
pubs.publication-status | Published | - |
Appears in Collections: | Dept of Computer Science Research Papers |
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Fulltext .pdf | 419.03 kB | Adobe PDF | View/Open |
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