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Previous issue date: 2013-02-01 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / Software Repository Mining (MSR) is a research area that analyses software repositories in
order to derive relevant information for the research and practice of software engineering. The
main goal of repository mining is to extract static information from repositories (e.g. code
repository or change requisition system) into valuable information providing a way to support
the decision making of software projects. On the other hand, another research area called
Process Mining (PM) aims to find the characteristics of the underlying process of business
organizations, supporting the process improvement and documentation. Recent works have
been doing several analyses through MSR and PM techniques: (i) to investigate the evolution
of software projects; (ii) to understand the real underlying process of a project; and (iii) create
defect prediction models. However, few research works have been focusing on analyzing the
contributions of software developers by means of MSR and PM techniques. In this context,
this dissertation proposes the development of two empirical studies of assessment of the
contribution of software developers to an open-source and a commercial project using those
techniques. The contributions of developers are assessed through three different perspectives:
(i) buggy commits; (ii) the size of commits; and (iii) the most important bugs. For the opensource
project 12.827 commits and 8.410 bugs have been analyzed while 4.663 commits and
1.898 bugs have been analyzed for the commercial project. Our results indicate that, for the
open source project, the developers classified as core developers have contributed with more
buggy commits (although they have contributed with the majority of commits), more code to
the project (commit size) and more important bugs solved while the results could not indicate
differences with statistical significance between developer groups for the commercial project / Minera??o de Reposit?rios de Software (MSR) ? uma ?rea que procura analisar
reposit?rios de software em busca de informa??es relevantes para a pesquisa e para a pr?tica
na engenharia de software. As minera??es buscam transformar informa??es est?ticas de
reposit?rios de software (sistemas de ger?ncia de configura??o e mudan?as) em informa??es
relevantes que auxiliam a tomada de decis?o dentro do contexto de projetos de software. Por
outro lado, a ?rea de Minera??o de Processos (MP) busca descobrir caracter?sticas dos
processos que s?o utilizados em organiza??es para auxiliar na melhoria e documenta??o
destes processos. Trabalhos recentes t?m buscado utilizar as t?cnicas de MSR e de MP para
realizar diversas an?lises na ?rea de Engenharia de Software, tais como: (i) estudar a evolu??o
dos projetos de software (ii) entender o processo de software real utilizado em um
determinado projeto; e (iii) criar modelos de predi??es de defeitos. Contudo, poucos destes
trabalhos buscam utilizar as t?cnicas de MP e MSR com o objetivo de analisar a contribui??o
de desenvolvedores na implementa??o de sistemas de software. Esta disserta??o de mestrado
prop?e a condu??o de estudos experimentais que buscam avaliar a contribui??o de
desenvolvedores de software para projetos, atrav?s da utiliza??o das t?cnicas de MSR e MP.
A contribui??o dos desenvolvedores ? avaliada sob tr?s diferentes perspectivas: (i) commits
defeituosos; (ii) tamanho dos commits; e (iii) resolu??o de bugs priorit?rios. Dois projetos de
software (um open-source e outro privado) foram analisados sob estas tr?s perspectivas. Para
o projeto open-souce, 12.827 commits e 8.410 bugs foram avaliados, enquanto que para o
projeto privado, 4.663 commits e 1.898 bugs foram avaliados. Os resultados obtidos indicam
que para o projeto open-source os desenvolvedores classificados como desenvolvedores core,
s?o os que mais produzem commits defeituosos (embora tamb?m sejam os que mais produzem
commits), s?o os que contribuem com commits de maior tamanho de c?digo e tamb?m
contribuem com mais bugs priorit?rios solucionados. J? para o projeto privado, os resultados
n?o indicaram uma diferen?a estatisticamente significativa entre os grupos de
desenvolvedores
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/18082 |
| Date | 01 February 2013 |
| Creators | Costa, Daniel Alencar da |
| Contributors | CPF:02219235432, http://lattes.cnpq.br/0189095897739979, Aranha, Eduardo Henrique da Silva, CPF:02561400492, Aquino J?nior, Gibeon Soares de, CPF:02685578455, Figueira Filho, Fernando Marques, CPF:22226738878, http://lattes.cnpq.br/6874649375434646, Flach, Christina Brand?o Von, CPF:28639170568, http://lattes.cnpq.br/1827829018668226, Kulesza, Uira |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Sistemas e Computa??o, UFRN, BR, Ci?ncia da Computa??o |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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