Concentration Of Knowledge In Software Projects: An Empirical Assessment

Mívian Marques Ferreira

Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/JCES-ARNGU9

Type:	Dissertação de Mestrado
Title:	Concentration Of Knowledge In Software Projects: An Empirical Assessment
Authors:	Mívian Marques Ferreira
First Advisor:	Marco Tulio de Oliveira Valente
First Co-advisor:	Kecia Aline Marques Ferreira
First Referee:	Kecia Aline Marques Ferreira
Second Referee:	Mariza Andrade da Silva Bigonha
Third Referee:	Ricardo Terra Nunes Bueno Villela
Abstract:	Software development is a knowledge-intensive industry. For this reason, concentration of knowledge in software projects tends to be more risky than in other domains. To express this risk, practitioners proposed the notion of Truck Factor, as a measure of concentration of knowledge in software projects. There are also algorithms that estimate this measure automatically, usually by extracting and processing data from software repositories. However, we still lack large studies that assess the results of Truck Factor algorithms. Therefore, in this dissertation, we first carried out a comparative study of such algorithms. We also investigate the relation between the concepts of Truck Factor and Core Developers, showing that the former are in most cases a subset of the latter. Finally, we analyze the relation between Truck Factor and software architectures. As a result, we recommend that measures of Truck Factor should consider the relative importance of the classes in a software project.
Subject:	Truck Factor Computação Engenharia de software Engenharia de software Emprego
language:	Inglês
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
Rights:	Acesso Aberto
URI:	http://hdl.handle.net/1843/JCES-ARNGU9
Issue Date:	5-Jun-2017
Appears in Collections:	Dissertações de Mestrado

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