Veuillez utiliser cette adresse pour citer ce document : https://hdl.handle.net/20.500.12394/11863
Titre: A Review of Literature About Models and Factors of Productivity in the Software Factory
Auteur(s): Castañeda Vargas, Pedro S.
Mauricio, David
Mots-clés: Computer Science (all)
Editeur: IGI Global
Date de publication: 1-jan-2020
metadata.dc.date.available: 30-sep-2022
Référence bibliographique: Castañeda Vargas , P S & Mauricio , D 2020 , A Review of Literature About Models and Factors of Productivity in the Software Factory . in Research Anthology on Recent Trends, Tools, and Implications of Computer Programming . IGI Global , pp. 1911-1939 . https://doi.org/10.4018/978-1-7998-3016-0.ch087
metadata.dc.identifier.doi: https://doi.org/10.4018/978-1-7998-3016-0.ch087
Résumé: Software factories seek to develop quality software in a manner comparable to the production of other industrial products, establishing improvements in their production process so as to be more competitive. Productivity, one of the competitiveness pillars, is related to the effort required to fulfill assigned tasks. However, there is no standard way of measuring productivity, making it difficult to establish policies and strategies to improve the factory. In this article, the authors perform a systematic review of the literature on factors affecting productivity of software factories, and models for measuring it. For the period 2005-2017, 74 factors and 10 models are identified. Most of the factors are related to Programming, and a few to Analysis and Design and Testing. Also, most models for measuring productivity only consider activities concerning programming.
Description: Publisher Copyright: © 2021 by IGI Global.
Peer reviewed
metadata.dc.relation: http://www.scopus.com/inward/record.url?scp=85134994998&partnerID=8YFLogxK
metadata.dc.relation.ispartof: Research Anthology on Recent Trends, Tools, and Implications of Computer Programming
Collection(s) :Otras colecciones

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